{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4271439009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4158301009,"location":{"name":"San Jose "},"metadata":null,"id":4271439009,"updated_at":"2026-06-02T13:58:41-04:00","requisition_id":null,"title":"Acoustic Integration Engineer","company_name":"Hark","first_published":"2026-06-02T13:58:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;We\u0026#39;re looking for an experienced Acoustic Integration Engineer to own the speaker and microphone subsystems across Hark products, from early prototype through factory ramp. You will start with our first product and scale your scope as the product line grows. This is hands-on work close to the hardware: characterizing transducers, integrating them into compact enclosures, tuning the system for peak subjective performance, and bringing up the audio test stations that gate every unit before it ships. The role bridges acoustics, mechanical, electrical, firmware, and operations, with direct impact on how every user hears the product. International travel is expected\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Characterize speaker drivers (Thiele-Small parameters, distortion, power handling, excursion limits) and inform transducer selection for each product\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Characterize microphone array geometry: inter-mic spacing, port acoustics, gasket sealing, baffle diffraction, and report on trade-offs\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Quantify speaker-to-mic coupling and hand pre-conditioning targets to the Mic DSP chains (AEC and beamforming)\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Measure self-noise, sensitivity matching, frequency response, harmonic and intermodulation distortion, rub-and-buzz and more\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Specify the audio FATP and sub-system audio test sequences for the factory line\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Lead acoustic FA on-site at contract manufacturers\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Validate acoustic robustness across temperature, humidity, drop, and aging in coordination with the Reliability team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;3+ years of professional experience in acoustic integration, transducer design, or audio test engineering on consumer hardware that has shipped at scale\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Strong fluency in transducers, loudspeakers of all sizes, and microphone array geometry\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Hands-on use of acoustic measurement systems such as Klippel, SoundCheck, or Audio Precision\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Comfort with mechanical and acoustic CAD review; able to read schematics and mechanical drawings\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Strong written and verbal communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;BS in acoustics, mechanical engineering, electrical engineering, or equivalent industry experience\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;5+ years scaling acoustic systems into mass-market consumer hardware with overseas contract manufacturers\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Working knowledge of electrodynamic and MEMS transducer design, including acoustic porting simulation with lumped-parameter, FEM, BEM, or COMSOL workflows\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Familiarity with IP-rated audio path design (water, dust, particulate, and chemical exposure)\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Programming fluency in MATLAB or Python for acoustic data analysis pipelines\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Background in voice-first or far-field audio products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 and $300,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4017915009,"name":"Hardware Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4280922009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4164943009,"location":{"name":"San Jose "},"metadata":null,"id":4280922009,"updated_at":"2026-06-10T18:38:37-04:00","requisition_id":null,"title":"AI Safety Engineer","company_name":"Hark","first_published":"2026-06-10T18:38:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Member of Technical Staff (Safety Generalist) to join our Safety team. This is a build-and-operate role: you\u0026#39;ll design and ship classifiers, pipelines, and tooling that detect and respond to harmful content and behavior on the platform — and then own those systems in production. You\u0026#39;ll work closely with engineering, policy, and leadership to define what \u0026quot;safe\u0026quot; looks like at Hark and build the infrastructure to enforce it.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a pure ML role and not a pure ops role. We\u0026#39;re looking for someone who can do both.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, train, and ship content moderation classifiers and detection pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own safety systems end-to-end: from model development through production monitoring and incident response.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Investigate abuse patterns and translate findings into durable technical mitigations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with policy and legal to operationalize safety standards into scalable systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the safety roadmap and help define what we build next.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3–7 years of experience in trust \u0026amp;amp; safety, content moderation, or a closely related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building and shipping ML classifiers or detection systems (not just running them).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating production systems — you\u0026#39;ve held a pager, triaged incidents, and shipped fixes under pressure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong problem-solving instincts and the ability to work across ambiguous, high-stakes problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine motivation to work on safety problems — you care about why this work matters.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a T\u0026amp;amp;S-focused company (Cinder, Hive AI, Thorn, Modulate, Discord Safety, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with multimodal content (text, voice, image) moderation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in CSAM detection, integrity engineering, or platform abuse.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $150,000 - $300,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4056063009,"name":"AI Safety","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4244853009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4142714009,"location":{"name":"San Jose "},"metadata":null,"id":4244853009,"updated_at":"2026-06-08T00:23:22-04:00","requisition_id":null,"title":"Audio Firmware Engineer","company_name":"Hark","first_published":"2026-05-09T16:26:39-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for an experienced Audio Firmware Engineer to develop and optimize next-generation embedded audio solutions on Android and SoC platforms. This role spans audio system bring-up, DSP pipeline integration, firmware optimization, and deployment of advanced audio/AI features for consumer devices. You will work across the software stack—from Android audio framework and HAL layers down to DSP—bringing production-quality audio experiences to market. This is hands-on work close to silicon, with direct impact on how every user experiences the product.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bring up audio on new hardware in the Android system — codecs, mics, speakers, routing, and low-level platform integration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, implement, and manage audio use cases on SoC platforms across playback, capture, voice, and always-on listening paths\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate and tune audio paths across the Android audio stack (HAL, AudioFlinger, Audio Policy Manager, TinyALSA/ALSA) and the underlying SoC audio frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Debug complex audio issues end-to-end using platform logs, working from kernel and DSP traces up through application-level symptoms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with the AI team to support audio-driven inference workloads (wake word, ASR, speech enhancement) within latency, power, and memory budgets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with hardware, acoustics, and product teams from prototype through production to ship audio that feels effortless to users\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of professional firmware or embedded audio development, ideally on consumer products that have shipped at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient with C/C++ in resource-constrained, real-time environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiar with Android audio architecture: Audio HAL, AudioFlinger, Audio Policy Manager, and TinyALSA/ALSA interfaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with audio tooling and frameworks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working across the full audio stack — kernel drivers, DSP firmware, HAL, framework — and debugging issues that span all of it\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working alongside hardware engineers during board bring-up and reading schematics for audio subsystems\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of audio processing algorithms — dynamic range control, echo cancellation, noise suppression, beamforming, and similar\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;DSP optimization experience, including fixed-point development, SIMD and VLIW.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tune audio quality and validate behavior across acoustic conditions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience deploying machine learning models on embedded platforms, especially audio models running on DSP or NPU\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background shipping voice-first or far-field audio products\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4027460009,"name":"Embedded Software","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4259605009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4151897009,"location":{"name":"San Jose"},"metadata":null,"id":4259605009,"updated_at":"2026-05-28T18:36:40-04:00","requisition_id":"75","title":"Audio Quality and Data Engineer  ","company_name":"Hark","first_published":"2026-05-28T18:36:40-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Voice is the primary interface between Hark\u0026#39;s AI and the people who use it, so audio quality is a product requirement, not an afterthought. We are hiring an Audio Quality and Data Engineer to own the end-to-end measurement of how our voice AI sounds, listens, and behaves — from the microphone array on the device, through the speech enhancement front end, across telephony and network paths, and into the conversational model itself.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will design test methodologies and metrics, build the automated test infrastructure that runs them, and lead the audio data collection efforts that feed both evaluation and model training. Your work will directly shape how customers experience our consumer AI devices and voice AI agents, and the quality bar you define will become the bar the rest of the company ships against.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and execute audio quality evaluation for Hark\u0026#39;s voice AI conversation system, including end-to-end conversational metrics (latency, barge-in behavior, turn-taking, intelligibility, naturalness) and component-level metrics for STT, TTS, and dialogue.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Evaluate audio quality of consumer AI devices across the full signal chain: acoustic echo cancellation (AEC), noise suppression (NS), beamforming, dereverberation, automatic gain control, and speech enhancement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Characterize telephony audio quality — loudness, latency, jitter, packet loss resilience, codec behavior, double-talk performance, and compliance with ITU-T recommendations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design, build, and maintain an automated audio test system: instrumented test fixtures, playback/capture orchestration, signal generation, scoring pipelines, and CI integration for regression coverage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead audio data collection programs: define recording protocols, acoustic conditions, device configurations, and speaker/language diversity targets; manage capture sessions and partner vendors; deliver labeled, structured datasets for both evaluation and model training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Investigate audio quality regressions and field issues — reproduce in the lab, isolate root cause across hardware, DSP, network, and model layers, and partner with hardware, firmware, ML, and platform teams to drive fixes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish the audio quality bar for product launches: write test plans, define pass/fail criteria, run pre-launch verification, and communicate results and risks to engineering and product leadership.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in audio quality, audio test, or audio DSP engineering, ideally on consumer audio devices, voice communication systems, or voice AI products.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in digital signal processing and statistics, with hands-on understanding of AEC, noise reduction, beamforming, AGC, and speech enhancement algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of telecommunication and audio quality standards (ITU-T P-series and G-series, 3GPP, TIA), and the objective metrics built on them (POLQA, PESQ, STOI, DNSMOS, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building automated audio test infrastructure in Python (or similar), including instrument control, signal generation/analysis, and scoring pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with professional audio test equipments: Audio Precision, ACQUA, HATS, B\u0026amp;amp;K / GRAS measurement microphones, artificial ears, R\u0026amp;amp;S or equivalent RF/network test gear.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ownership of audio data collection: protocol design, session execution, dataset curation, and quality control.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skilled at troubleshooting complex audio issues across hardware, software, and acoustic environments, and at communicating findings to cross-functional engineering teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;B.S. in Electrical Engineering, Computer Engineering, or a related field; M.S. or Ph.D. preferred.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience evaluating LLM-based voice agents or full-duplex conversational systems (turn-taking, interruption handling, end-pointing, latency budgets).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with ASR evaluation methodology — WER, robustness testing, regression criteria, and dataset construction for noisy/far-field conditions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to industry standards bodies (ITU-T, 3GPP, IEEE) or published audio quality research.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience setting up an audio test lab from scratch — equipment selection, acoustic treatment, calibration procedures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with embedded audio platforms, Bluetooth audio stacks, or wearable/hearable form factors.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;C/C++ proficiency for working close to the DSP or firmware layer.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Patents or publications in audio signal processing, echo cancellation, or speech enhancement.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $250,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4017915009,"name":"Hardware Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4287748009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4169435009,"location":{"name":"San Jose "},"metadata":null,"id":4287748009,"updated_at":"2026-06-17T00:30:00-04:00","requisition_id":null,"title":"Audio Software Engineer","company_name":"Hark","first_published":"2026-06-16T20:16:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Member of Technical Staff (Real-Time Audio) to join our Product Engineering team. Hark’s voice agent holds real-time, full-duplex conversations with people in homes, cars, and noisy rooms. That experience is only as good as the audio underneath it.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role owns the real-time audio that makes conversations feel natural (echo cancellation, noise suppression, and voice activity detection) as production code in our live client. This is not a research role and not a DSP theory role. We\u0026#39;re looking for someone who can do both: understand the signal processing and ship the code.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own audio quality on the client: echo, self-interruption, dropouts, and clipping\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and tune the browser audio pipeline with the Web Audio API, AudioWorklet, and getUserMedia constraints\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work the WebRTC audio path end to end: AEC, noise suppression, and VAD\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ship DSP to the client as C++/Rust compiled to WebAssembly, and as TypeScript in the audio pipeline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tune endpointing, interruption, and turn-taking so the agent listens like a person\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reduce conversational latency and artifacts across the streaming pipeline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work in our React/TypeScript client where audio meets the UI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage features end-to-end from prototyping through production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with designers, platform engineers, and our speech team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of software engineering experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Shipped real-time audio into a product used by real users\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with WebRTC, AEC (echo cancellation), noise suppression, and VAD\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong DSP fundamentals: adaptive filtering, STFT, resampling, and gain control\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;C/C++ or Rust for production DSP, and experience shipping it to the browser via WebAssembly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of the browser audio stack: Web Audio API, AudioWorklet, and MediaStream constraints\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with latency, buffering, and sample rates in a streaming audio pipeline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Owns features end-to-end and works comfortably in a shared production codebase.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience working at a voice, speech, or video-conferencing company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;ML for audio: noise suppression, VAD, or source separation (e.g. RNNoise, DeepFilterNet, Silero VAD), and on-device inference (ONNX Runtime, Core ML)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with WebRTC internals (the Audio Processing Module, AEC3, Opus) and voice-agent frameworks (LiveKit, Pipecat)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;TypeScript and React, and comfort working across the product frontend\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with target-speaker isolation, diarization, or barge-in and turn-detection systems for conversational AI.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $170,000–$400,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035264009,"name":"Product Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193725009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114034009,"location":{"name":"San Jose"},"metadata":null,"id":4193725009,"updated_at":"2026-04-30T18:37:43-04:00","requisition_id":"52","title":"Backend Engineer","company_name":"Hark","first_published":"2026-03-23T14:21:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll build the backend systems that make Hark\u0026#39;s AI agent actually work — reliable, fast, and production-grade.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;That means the hard infrastructure problems: high-concurrency services, low-latency streaming, state management for long-running agent workflows, and the execution layer that connects model outputs to real-world actions. You are building the nervous system of an agentic product.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small team. You\u0026#39;ll work directly with model researchers and platform engineers, and the systems you build will determine whether Hark feels like a slow chatbot or something genuinely new.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Core Runtime Architecture: Design and build the high-concurrency backend services responsible for agent orchestration, tool execution, and real-time streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Systems Reliability: Develop robust failure-handling, retry logic, and state management for long-running agentic workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Platform Primitives: Architect the foundational APIs and services—including memory retrieval systems and sandboxed execution environments—that power the entire Hark ecosystem.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performance Engineering: Optimize the stack for low-latency streaming and high-throughput data processing to ensure seamless agent-user interactions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Full-Cycle Ownership: Lead features from low-level design and prototyping to production deployment, monitoring, and performance tuning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;System Observability: Implement deep instrumentation and automated evaluation frameworks to track system health and model quality regressions.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Backend \u0026amp;amp; Systems Mastery: 5+ years of experience building mission-critical backend systems. You are an expert in concurrency, networking protocols, and distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production at Scale: Proven track record of shipping APIs and infrastructure that handle real-world traffic, with a deep understanding of horizontal scaling and \u0026quot;day 2\u0026quot; operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI System Intuition: Experience integrating LLMs into backend pipelines. You understand the unique failure modes of non-deterministic systems and how to wrap them in deterministic, reliable code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Language Proficiency: Strong experience in at least one systems-level language (e.g., Go, Rust, C++, or Java).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Infrastructure Mindset: Comfort with cloud-native architectures (AWS/GCP), container orchestration, and building secure, isolated execution sandboxes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical Communication: Ability to articulate complex architectural tradeoffs and collaborate with model researchers to bridge the gap between AI and production-grade software.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with gRPC, WebSockets for high-performance streaming.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior work with vector databases, distributed caching, or custom memory management systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of Kubernetes, microservices security, or serverless execution patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building developer-facing APIs or SDKs.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $170,000 - $400,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035264009,"name":"Product Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4235126009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4137358009,"location":{"name":"San Jose "},"metadata":null,"id":4235126009,"updated_at":"2026-04-30T15:58:15-04:00","requisition_id":null,"title":"Creative Social Lead","company_name":"Hark","first_published":"2026-04-28T22:09:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is looking for a Creative Social Lead to own our presence across platforms, balancing long term strategy and the content itself. You\u0026#39;ll help define how Hark communicates on social media, how we sound, and how we build an audience around something genuinely new.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll work closely with leadership and across product, design, and communications to translate what we\u0026#39;re building into content that resonates with people. This is a hands-on role for someone who can think strategically and also be able to execute upon it.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and own Hark\u0026#39;s social identity across platforms — voice, style and tone\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build our presence on a variety of platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop platform-specific strategies that reflect how people actually engage on each channel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help translate company milestones and product launches into meaningful social moments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor performance and iterate based on what the data tells you\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Grow and eventually manage a small creative team as the company scales\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years experience building\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have a creative voice and know how to adapt it\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You can build a social presence from the ground up\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in creating beautiful, engaging content\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You can think in strategy and execute on it yourself\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Great communication skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You understand how different platforms actually work, and not just best practices from before\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building something real\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $150,000 - $300,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4017920009,"name":"Design","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193778009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114067009,"location":{"name":"San Jose"},"metadata":null,"id":4193778009,"updated_at":"2026-04-30T18:10:52-04:00","requisition_id":"62","title":"Data Collection","company_name":"Hark","first_published":"2026-03-23T14:48:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll own data collection at Hark — the programs, the vendors, and the pipelines that turn raw signal into training data our models can actually learn from.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;That means running end-to-end campaigns across human feedback, synthetic data, and product-embedded signals. The quality of what we collect shapes the quality of what we ship, and this role owns that loop.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small team. You\u0026#39;ll work directly with researchers, engineers, and external partners, and the data you deliver will directly influence how our models behave in the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and run data collection programs end-to-end — scoping requirements, writing instructions, defining success criteria, and driving execution with vendors and annotators.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage external vendor relationships. Be the primary interface between Hark and data partners, keeping quality high and timelines on track.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assess collected data using internal tooling, identify quality issues, and feed clear, actionable feedback back to vendors and annotators.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with model researchers and engineers to understand what data is needed, translate that into operational plans, and deliver.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track program metrics, surface insights, and drive continuous improvements to quality, throughput, and process.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify gaps in tooling and workflows and propose concrete improvements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Operational excellence. You can manage multiple programs simultaneously, keep track of details under pressure, and bring structure to fast-moving situations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with external vendors or contractors. You know how to set expectations, manage relationships, and hold partners accountable to quality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A knack for data. You\u0026#39;ve gone beyond surface-level metrics — you dig in, find patterns, and use what you find to make things better.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication. You can translate between research requirements and operational reality, and you keep everyone aligned without letting things slip.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with ambiguity and fast iteration. You take a rough problem, build a process around it, get feedback, and tighten it quickly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine curiosity about AI. You don\u0026#39;t need to be an ML researcher, but you care about how models learn and why data quality matters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;2+ years of relevant experience in data operations, program management, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience managing human feedback or preference data programs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with data annotation platforms or labeling pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with synthetic data generation or evaluation dataset design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background working at a fast-moving AI or research-driven company.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $150,000 - $250,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035428009,"name":"AI Data Operations","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4218888009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4128092009,"location":{"name":"San Jose "},"metadata":null,"id":4218888009,"updated_at":"2026-04-30T18:49:32-04:00","requisition_id":"73","title":"Data Engineering Lead","company_name":"Hark","first_published":"2026-04-14T04:17:25-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll build the data infrastructure that turns raw signals into the training data Hark\u0026#39;s models learn from, and the pipelines that keep it flowing at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;That means owning the full data engineering stack: ingestion, transformation, quality filtering, and delivery to training and evaluation systems. The models we ship are only as good as the data behind them, and this role owns that foundation.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small team. You\u0026#39;ll work directly with model researchers, data collection leads, and infrastructure engineers, and the systems you build will directly shape the quality and pace of model development.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build scalable data pipelines that ingest, process, and deliver training data across multiple modalities: text, audio, vision, and structured feedback signals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the data infrastructure stack end-to-end: ingestion, transformation, deduplication, quality filtering, versioning, and delivery to model training and evaluation systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with model researchers and data collection leads to understand data requirements and translate them into reliable, auditable pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build tooling and frameworks that make it easy for the team to inspect, evaluate, and iterate on data quality. The insights surfaced should feed back into collection and curation decisions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and enforce data quality standards. Instrument pipelines for correctness, freshness, and coverage. Catch regressions before they reach training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design data systems for reproducibility and scale. The pipelines you build need to handle growing volumes across modalities without becoming a bottleneck.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify gaps in the current stack and drive concrete improvements to throughput, quality, and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong data engineering fundamentals. You are comfortable designing and operating large-scale batch and streaming pipelines, and you care about correctness and reliability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building data systems for machine learning. You understand the difference between a data pipeline for analytics and one that feeds model training, and you know what it takes to get the latter right.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluency with the modern data stack. You\u0026#39;ve worked with tools like Spark, Beam, or Flink, and you know how to make tradeoffs between them. Experience with data versioning systems (e.g., DVC, Delta Lake, Iceberg) is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Systems thinking. You reason about schema evolution, backfills, and failure modes before they become production incidents. You build for the day-2 case, not just the demo.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A quality instinct. You don\u0026#39;t just move data. You understand what\u0026#39;s in it, catch problems early, and close the feedback loop with the people who need clean data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication. You can work closely with model researchers and engineers, explain data tradeoffs clearly, and make good decisions across team boundaries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of relevant data engineering experience. Experience at a fast-growing AI or research-driven company is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building data infrastructure for large language model or multimodal model training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with multimodal data formats and processing pipelines (audio, video, image).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with human feedback or preference data pipelines (RLHF, DPO, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with data quality evaluation frameworks or annotation tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in distributed systems, stream processing, or large-scale ETL.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience at a fast-moving AI lab or research-driven company.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;Compensation\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $170,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035264009,"name":"Product Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193759009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114053009,"location":{"name":"San Jose "},"metadata":null,"id":4193759009,"updated_at":"2026-04-30T16:01:09-04:00","requisition_id":"56","title":"Electrical Engineer","company_name":"Hark","first_published":"2026-03-23T14:37:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an electrical engineer to own the end-to-end power architecture of our next-generation portable devices. You will be responsible for ensuring our products are safe, efficient, and long-lasting. From selecting the right battery chemistry to fine-tuning PMIC registers and creating complex\u0026lt;strong\u0026gt; \u0026lt;/strong\u0026gt;power models, you will ensure every milliwatt is accounted for.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Power Architecture: Define the power distribution network (PDN) and select key components, including PMICs, chargers, fuel gauges, and protection ICs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Battery Management: Lead the selection, characterization, and safety validation of Li-ion/Li-poly battery cells.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Power Modeling \u0026amp;amp; Simulation: Develop detailed power models to predict battery life across various user scenarios (idle, peak load, standby).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Charging Systems: Design and optimize wired (USB-C PD) and/or wireless charging circuits, ensuring thermal stability and fast-charging compliance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Efficiency Analysis: Conduct bench-level efficiency measurements for DC-DC converters (Buck, Boost, LDO) and optimize firmware settings for peak performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Peak Power Management: Develop power model and management strategy to overcome system brownout.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Regulatory Compliance: Ensure power designs meet global safety standards (UL, IEC, UN38.3) and EMI/EMC requirements\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Education: BS/MS in Electrical Engineering.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PMIC Expertise: Hands-on experience integrating and configuring high-performance PMICs (e.g., Qualcomm, TI, Nordic, or Maxim).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Battery Tech: Deep understanding of Battery Management Systems (BMS), including fuel gauging algorithms and state-of-charge (SoC) estimation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Precision Measurement: Expert-level skills using power analyzers, electronic loads, and high-resolution current sense tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PDN Integrity: Strong understanding of PCB layout for power, focusing on minimizing losses and managing high-current paths.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Software Familiarity: Experience working with software team on driver-level power management or I2C/SMBus communication.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Thermal Modeling: Experience using tools like Flotherm or Icepak to simulate the thermal impact of power dissipation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Simulation: Proficiency in SPICE or MATLAB for transient analysis and loop stability modeling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4017915009,"name":"Hardware Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4201692009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4117761009,"location":{"name":"San Jose"},"metadata":null,"id":4201692009,"updated_at":"2026-04-30T17:40:34-04:00","requisition_id":"68","title":"Embedded Application Engineer","company_name":"Hark","first_published":"2026-03-26T13:29:21-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence laboratory, building the most advanced, personal intelligence in the world.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We believe that artificial intelligence can be used to help offload our mental workload through thinking like us and sometimes ahead of us. Intelligence that is proactive and personalised through new models capable of interacting with the world through speech, text, vision and persistent memory.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for an Application Engineer who lives at the intersection of Android application development and embedded systems. This is not a traditional mobile app role. You’ll be building the core application that runs on our hardware device — the software layer that bridges user-facing experiences with the underlying firmware and embedded systems. Think of it as the single app that makes the robot do what it needs to do. You’ve shipped a product before. You know what it takes to go from prototype to production, and you thrive in that process.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the development of the primary application running on Hark’s hardware device, from architecture through production deployment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and optimize Android-based software that interfaces directly with embedded systems, sensors, and firmware layers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work at the crossover between application-level code and firmware — writing software that runs on the device, not in the cloud\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with hardware, embedded software, and AI teams to deliver a tightly integrated product experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage the full lifecycle of getting software onto a physical device: flashing, OTA updates, boot sequences, and device provisioning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Debug across the full android stack — from Android framework issues down to hardware-level communication protocols\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive the product from development through manufacturing and into the hands of users\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills to translate the requirements from XFN teams into designs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in Android development, with deep experience beyond standard mobile apps — ideally on embedded or custom hardware devices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of the Android platform at the system level: AOSP, system services, HAL, native libraries, and device drivers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with embedded systems, firmware integration, or low-level hardware/software interfaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have shipped a physical product. You know what it takes to get software running reliably on hardware in production — not just in a lab\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with communication protocols common in embedded devices (UART, SPI, I2C, BLE, USB)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Java/Kotlin for application development and C/C++ for lower-level systems work\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working in a fast-moving, cross-functional team where you’ll touch hardware, firmware, and product decisions dail\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with Android Things, AOSP board bring-up, or custom Android device builds\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in robotics, consumer electronics, or IoT hardware\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with real-time operating systems (RTOS) or hybrid RTOS/Linux environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with AI/ML model deployment on edge devices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience analyzing and deconstructing Android device systems at the platform level\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4027460009,"name":"Embedded Software","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4186968009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4108404009,"location":{"name":"San Jose "},"metadata":null,"id":4186968009,"updated_at":"2026-04-30T17:41:20-04:00","requisition_id":"43","title":"Embedded Software Engineer","company_name":"Hark","first_published":"2026-03-19T16:47:49-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll own critical pieces of the firmware stack that powers Hark\u0026#39;s consumer products — from board bring-up and peripheral drivers to the runtime environment that hosts on-device intelligence. This isn\u0026#39;t firmware in a vacuum. You\u0026#39;ll work directly with the hardware team on new silicon and sensor integrations, with the agent team on model execution and memory constraints, and with products on experiences that ship to real users. The problems are real, the constraints are tight, and the work matters immediately.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain embedded firmware in C/C++ targeting ARM-based SoCs and microcontrollers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own BSP development, peripheral driver integration (SPI, I2C, UART, I2S), and RTOS task scheduling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize power consumption and thermal performance for always-on, battery-powered operation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain OTA update infrastructure for reliable field updates\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the on-device AI team to support model inference within memory and latency budgets\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop factory test and calibration firmware for manufacturing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Debug complex hardware-software interactions using logic analyzers, oscilloscopes, and JTAG\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years of professional firmware or embedded systems development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in C and/or C++ in resource-constrained environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with ARM Cortex-M or Cortex-A processors and associated toolchains\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with RTOS (FreeRTOS, Zephyr, or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with wireless protocols (BLE, Wi-Fi, or Thread)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort reading schematics and working alongside hardware engineers during board bring-up\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with embedded debugging tools and workflows\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with power optimization for battery-powered consumer devices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with secure boot, firmware signing, or hardware root of trust\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to ML inference runtimes on embedded platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience shipping consumer electronics through EVT/DVT/PVT milestones\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4027460009,"name":"Embedded Software","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4244887009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4142737009,"location":{"name":"San Jose "},"metadata":null,"id":4244887009,"updated_at":"2026-05-10T02:06:00-04:00","requisition_id":null,"title":"Engineering Program Management, Systems Build","company_name":"Hark","first_published":"2026-05-10T02:04:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a world-class Engineering Program Manager to lead system builds for our AI consumer products, from early local prototypes through Proto, xVT, ramp, and launch.\u0026amp;nbsp; You\u0026#39;ll partner closely with every engineering discipline to architect and execute builds that cover all validation needs and run efficiently on the floor. Location is flexible, with up to 30% in-region travel to ensure every build runs as planned.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;6+ years executing and shipping high technology consumer electronics systems at large OEMs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Electrical, Mechanical, or related engineering discipline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record leading hardware builds end-to-end with contract manufacturers, and driving critical supply chain components\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with high technology manufacturing processes, component lead times, PCB technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience driving programs through prototype, xVT, ramp, and mass production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent interpersonal communication and information visualization skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to travel in-region including extended stays during critical builds\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead build planning and execution from early local prototypes through Proto, xVT, ramp, and launch\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with EE, ME, SI, RF, thermal, and reliability teams to strategically design builds that cover validation needs and run efficiently\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively surface program needs across cross-functional partners and align teams on direction before issues hit the line\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive in-depth technical engagements with vendors and contract manufacturers on design, process, and yield\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Travel in-region to factory sites to direct execution and resolve issues on the floor\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own materials readiness, build schedules, and unit distribution across configurations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and close out schedule, material, and yield risks early through clear cross-functional decision-making\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communicate program status, risks, and key decisions clearly to engineering and leadership\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Preferred Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;MS in an engineering discipline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep engineering and manufacturing experience with some consumer electronic module technologies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience leading NPI programs at scale across global CM partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with BOM management, ECO flows, and validation DOE planning\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Calm under pressure, decisive in ambiguity, and energized by fast-moving programs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong technical instincts and the judgment to know when to escalate\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4041889009,"name":"Program Management","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4244851009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4142712009,"location":{"name":"San Jose "},"metadata":null,"id":4244851009,"updated_at":"2026-05-09T16:12:19-04:00","requisition_id":null,"title":"Finance Manager","company_name":"Hark","first_published":"2026-05-09T16:12:19-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is seeking an experienced Finance Manager to play a crucial role in the development and strategy of all facets of our Finance department.\u0026amp;nbsp; This person will be responsible for wearing many different hats and handling various Finance functions to ensure the smooth operation of our organization, such as accounting, accounts payable/receivable, budget forecasting, and more.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-impact, hands-on opportunity for an individual who excels at scaling systems efficiently and thrives in an environment where they are the one authoring the playbook rather than following one.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee day-to-day financial operations, including accounts payable/receivable, payroll, and general ledger management\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prepare timely and detailed reports on financial performance on a monthly, quarterly, and annual basis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct analysis to make forecasts and report to upper executives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop budgets and financial plans for the company based on research and data reports\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure compliance with accounting policies and regulatory requirements\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage and monitor metrics, KPI tracking, and reports\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct profit and cost analyses\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with auditors to ensure proper compliance with all regulations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in strategic data analysis, research, and modeling for senior company leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support project analysis, validation of plans, and ad-hoc requests\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain the financial health of the organization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze costs, pricing, variable contributions, sales results, and the company’s actual performance compared to the business plans\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience working in corporate finance and accounting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Finance, Accounting, Economics, or a related field; MBA or relevant certification (e.g., CFA/CPA) is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience as an accountant for financial professional or in a similar role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;In-depth knowledge of corporate finance and accounting principles, laws, and best practices\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid knowledge of financial analysis and forecasting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficient in the use of MS Office, Google Workspace and financial management software\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication and interpersonal skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to strategize and solve problems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong leadership and organizational skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent analytical and numerical skills\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sharp time management skills with the ability to prioritize tasks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at fast paced hardware technology companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Has relevant finance and accounting certifications\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $200,000 – $300,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4041884009,"name":"Finance","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193733009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114039009,"location":{"name":"San Jose"},"metadata":null,"id":4193733009,"updated_at":"2026-04-30T18:38:18-04:00","requisition_id":"53","title":"Frontend Engineer","company_name":"Hark","first_published":"2026-03-23T14:38:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll own the frontend experience of Hark: the interfaces people see, touch, and talk to every day.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;That means building UI that keeps up with a real-time, streaming AI agent. Interactions that feel instant. State that stays coherent across voice, text, and vision. The kind of polish that makes people trust what they\u0026#39;re using.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small team. You\u0026#39;ll work directly with designers and the engineers building the agent platform, and what you ship will define how Hark feels to use.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and own the frontend surfaces of Hark: web, mobile web, and the component systems that power them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ship UI for real-time, streaming agent interactions. Handle partial responses, tool invocations mid-stream, and state updates that arrive out of order.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with designers to translate vision into interfaces that feel fast, responsive, and trustworthy. Sweat the details.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build accessible, performant components that scale across Hark\u0026#39;s product surfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Instrument what you ship. Track performance, catch regressions, and improve based on real usage data.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with platform engineers on the APIs and data contracts that connect the frontend to the agent runtime.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep frontend expertise. You know modern React (or equivalent), state management patterns, and how to build interfaces that feel great at 60fps.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with real-time UI. Streaming data, websockets, optimistic updates: you\u0026#39;ve built interfaces where latency and state consistency really matter.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A sharp eye for polish. You notice when animations are off, when loading states feel wrong, when something just doesn\u0026#39;t feel right, and you fix it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience shipping consumer products that real people depend on. You understand the gap between a prototype and something someone trusts every day.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine curiosity about AI and agents. You\u0026#39;ve used LLM-powered products, noticed where the UX breaks down, and thought about what would make it better.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with ambiguity and fast iteration. You can take a rough idea, prototype it quickly, get feedback, and converge on something that works.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication. You can partner closely with designers and backend engineers, explain your thinking, and make good decisions together.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of frontend engineering experience. Experience at a fast-growing AI or consumer product company is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a fast-growing AI or consumer product company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with voice interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with multimodal interactions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with mobile development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with animation or motion design systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $170,000 - $400,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035264009,"name":"Product Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4185889009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4107738009,"location":{"name":"San Jose"},"metadata":null,"id":4185889009,"updated_at":"2026-04-30T18:38:52-04:00","requisition_id":"39","title":"Full-Stack Engineer","company_name":"Hark","first_published":"2026-03-17T20:50:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Team\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll build the product surfaces of Hark — the interfaces and experiences users interact with every day across voice, text, and vision.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;That means translating what our agent can do into something that feels fast, intuitive, and trustworthy. The gap between a capable AI and one people actually want to use is a product problem, and this role owns it.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small team. You\u0026#39;ll work directly with designers and model researchers, and what you ship will define how people experience Hark.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build the product surfaces of Hark. The interfaces, conversations, and agentic experiences that users interact with every day across voice, text, and vision.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with designers to ship interactions that feel fast, reliable, and genuinely useful. The details matter here.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own features end-to-end, from early prototyping to production deployment and iteration based on real usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build the frontend for agent workflows that integrate tool use, memory retrieval, and multi-step reasoning. Making model capabilities feel coherent and trustworthy to the person using them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Instrument and evaluate what you ship. Track quality, gather signal, and improve.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong frontend engineering fundamentals. You are comfortable building polished, responsive interfaces and you care deeply about how things feel to use.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience shipping consumer products that real people depend on. You understand the gap between a prototype and something someone trusts every day.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine curiosity about AI and agents. You have used LLM-powered products, noticed where they break down, and thought about what would make them better.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A product sensibility. You think about the person using the thing, not just the implementation. You notice when something is off and you want to fix it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with ambiguity and fast iteration. You can take a rough idea, prototype it, get feedback, and move quickly toward something that works.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication. You can work closely with designers and engineers, explain your thinking, and make good decisions together.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of relevant software engineering experience. Experience at a fast-growing AI or consumer product company is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a fast-growing AI or consumer product company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with voice or multimodal interfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with real-time streaming UI.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building frontend systems for agentic products.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $170,000 - $400,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035264009,"name":"Product Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193783009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114070009,"location":{"name":"San Jose"},"metadata":null,"id":4193783009,"updated_at":"2026-04-30T18:06:30-04:00","requisition_id":"63","title":"Global Supply Chain Manager","company_name":"Hark","first_published":"2026-03-23T14:49:29-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for an exceptional Staff / Global Supply Chain Manager to help build and scale the supply chain foundation behind Hark products. This is a high-impact role for someone who can operate at both the strategic and execution levels; building supplier ecosystems, driving sourcing strategy, and enabling manufacturing readiness for complex, high-performance hardware.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work closely with engineering, operations, contract manufacturers, and strategic suppliers to bring critical technologies and components from concept through mass production. You will be responsible for supply continuity, cost competitiveness, quality, flexibility, and ramp execution across a broad range of custom and highly technical parts. This role requires strong commercial judgment, technical fluency, and the ability to move quickly in an environment where the product, supply base, and processes are being built in parallel.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a maintenance role. It is a build role. You will help define how Hark industrializes new technologies, selects and develops suppliers, negotiates key commercial terms, and creates resilient supply strategies that support aggressive product goals. You must be comfortable operating in ambiguity, making hard tradeoffs, and driving alignment across internal teams and external partners.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead the end-to-end sourcing and procurement process for FATP, modules, and components, managing RFQs, contract negotiations, NDAs, and Terms \u0026amp;amp; Conditions to ensure transparent and efficient business transactions\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify, evaluate, and onboard suppliers, building a reliable supply base to support the evolving needs of AI hardwares\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive strategic negotiations with suppliers on piece pricing, development scope, and technical execution, aligning cost targets, quality standards, and performance requirements to deliver high-quality components and modules for next-generation AI hardware\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with engineering and manufacturing teams to define detailed specifications for advanced AI hardware systems and components, ensuring seamless integration, manufacturability, and optimal product performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Continuously monitor market developments and stay on advancements in AI hardware technologies, component architectures, and integrated systems to identify leading-edge solutions that improve product performance, reliability, scalability, and cost-effectiveness\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and implement sourcing strategies aligned with Hark’s long-term vision for next-generation AI hardware, ensuring the right suppliers, technologies, and manufacturing partners are in place to meet evolving product and scaling demands\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Spearhead cost reduction initiatives that balance efficiency with uncompromising quality, reliability, and performance, optimizing the supply chain for advanced AI hardware components, modules, and related assemblies\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor’s degree in Supply Chain, Mechanical Engineering, Electrical Engineering, Industrial Engineering, or equivalent practical experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in supply chain management or commodity management, with a focus on consumer electronics or other highly integrated hardware products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Preferred background in electronics sourcing for consumer electronics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;3-5 years of experience in Sourcing role, preferably for electronics manufacturing turnkey projects\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience developing “should-cost” or parametric models for Electronics Manufacturing Capital Equipment\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in contract terms negotiation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience achieving and exceeding cost reduction, aggressive and skilled negotiator\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work independently on multiple tasks and projects, with various teams including Engineers and Supply Chain personnel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Team player with strong interpersonal and project management skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035268009,"name":"Supply Chain","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4236755009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4138350009,"location":{"name":"San Jose "},"metadata":null,"id":4236755009,"updated_at":"2026-06-08T00:22:36-04:00","requisition_id":null,"title":"Haptics Firmware Engineer","company_name":"Hark","first_published":"2026-04-30T12:14:42-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is looking for an experience-focused, hands-on embedded engineer to build haptic and motion control system firmware and software that deliver incredible interaction experiences. \u0026amp;nbsp; We care a lot about how things feel, and how the people that use them feel, and we want someone who shares that craft mindset.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Write real-time firmware in C and C++ that drives motion and haptic systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Close the loop on response time and feel. characterize actuator behavior on the bench and tune controllers until the result is genuinely pleasant to use.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Stand up early hardware, prove out feel and timing in prototype form, and shape the final shipping experience alongside product and industrial design partners.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years writing firmware for microcontrollers in C and C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated hands-on motor or actuator control work that shipped — PID, feed-forward, FOC, observers, and similar techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort on the bench with scopes, logic analyzers, and bus traffic over I²C, SPI, or I²S.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working knowledge of Python or another scripting language for measurement automation and quick data analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Clear written communication — you can explain a tradeoff to a non-firmware teammate without losing them.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong instinct for what distinguishes haptics that feel right.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;DSP fundamentals: filtering, time-domain shaping, and basic perceptual modeling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;RTOS experience or comfort with bare-metal scheduling for hard real-time control loops.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with low-power system design and the measurement habits that come with it.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior work on consumer haptics, audio, or other systems where feel and timing are visible to the user.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4027460009,"name":"Embedded Software","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193764009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114057009,"location":{"name":"San Jose"},"metadata":null,"id":4193764009,"updated_at":"2026-04-30T16:00:19-04:00","requisition_id":"57","title":"Hardware Test Engineer","company_name":"Hark","first_published":"2026-03-23T14:42:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Hardware Test Engineer to build the test infrastructure that ensures our AI-powered devices meet quality, reliability, and performance standards at every stage of development. You will own test strategy from board bring-up through mass production, designing fixtures, writing automation scripts, and defining the criteria that decide whether a product ships. From functional test on the bench to burn-in and stress testing at the factory, you will be the last line of defense before our devices reach users.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Test Strategy: Define and own the end-to-end test plan across EVT, DVT, PVT, and production milestones.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fixture Design: Design and develop custom test fixtures (bed-of-nails, pogo pin, cable harness) for PCBA and system-level testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Test Automation: Write automated test scripts in Python to control instruments, collect data, and generate pass/fail reports.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Board Bring-Up: Lead electrical bring-up of new PCBAs, debugging power rails, clocks, interfaces, and peripheral functionality.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Reliability Testing: Plan and execute environmental stress tests including thermal cycling, vibration, drop, and accelerated life testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Production Support: Work with contract manufacturers to deploy and maintain test stations on the factory floor, ensuring yield and throughput targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Failure Analysis: Perform root cause analysis on field returns and test failures using oscilloscopes, logic analyzers, and X-ray inspection.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Education: BS/MS in Electrical Engineering, Computer Engineering, or a related discipline.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Test Automation: Strong Python scripting skills for instrument control (SCPI/VISA), data analysis, and test reporting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lab Instrumentation: Expert-level proficiency with oscilloscopes, multimeters, power supplies, spectrum analyzers, and logic analyzers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PCB Debugging: Demonstrated ability to bring up and debug complex multi-rail, mixed-signal PCBAs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manufacturing: Experience deploying test systems at contract manufacturers and supporting production ramp.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with boundary scan (JTAG), in-circuit test (ICT), and flying probe test methodologies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in RF test for Wi-Fi, Bluetooth, or cellular radios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with LabVIEW, TestStand, or similar test executive frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience testing products with cameras, displays, microphones, or other sensor arrays.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4017915009,"name":"Hardware Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193756009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114052009,"location":{"name":"San Jose"},"metadata":null,"id":4193756009,"updated_at":"2026-04-30T18:22:36-04:00","requisition_id":"55","title":"Infrastructure, Large-scale Training","company_name":"Hark","first_published":"2026-03-23T14:34:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Member of Technical Staff, Infrastructure Compute to lead and manage large-scale GPU computing clusters powering our AI training and deployment workloads. You\u0026#39;ll work at the intersection of systems engineering and machine learning infrastructure, owning the reliability, scalability, and efficiency of the compute platform that our research and engineering teams depend on. This is a high-impact, highly technical role suited for someone who thrives in complex distributed systems environments and cares deeply about infrastructure as a product.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design, implement, and maintain Infrastructure as Code (IaC) best practices to enable repeatable, auditable, and scalable cluster provisioning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enhance and harden CI/CD deployment pipelines to ensure robust, secure, and low-latency model service delivery across production environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own and evolve stable training infrastructure operating at the scale of 10,000+ GPUs, including job scheduling, fault tolerance, and network fabric optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner closely with ML researchers and engineers to understand compute bottlenecks and translate them into infrastructure improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor system health, define SLOs, and lead incident response for critical training and inference workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive capacity planning, cost efficiency initiatives, and hardware lifecycle management across the GPU fleet.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to internal tooling and platform abstractions that improve developer experience for teams consuming compute resources.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience in infrastructure, systems, or platform engineering, with at least 2 years working in ML or HPC environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated experience managing GPU clusters or large-scale distributed compute infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in at least one systems or infrastructure programming language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of networking fundamentals (RDMA, InfiniBand, or RoCE a plus) relevant to high-throughput training workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with container orchestration, job scheduling, and multi-tenant resource management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record owning production systems with high reliability requirements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong debugging and observability skills across the full infrastructure stack.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Kubernetes (K8s) — particularly experience operating large, GPU-aware clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Pulumi or similar modern IaC tooling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Rust and/or Go for systems-level tooling and performance-critical services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with PyTorch and Ray for understanding workload patterns and integration requirements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035269009,"name":"AI Infrastructure","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4244884009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4142734009,"location":{"name":"San Jose "},"metadata":null,"id":4244884009,"updated_at":"2026-05-10T01:44:58-04:00","requisition_id":null,"title":"Infrastructure, Speech","company_name":"Hark","first_published":"2026-05-10T01:44:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a Member of Technical Staff, Infrastructure Speech to lead and scale the backbone of Hark\u0026#39;s real-time speech-to-speech engine. Positioned at the nexus of systems engineering and speech AI, you will be accountable for the reliability, latency, and performance of the infrastructure supporting our live speech models. This is a high-impact technical role designed for someone who excels in low-latency distributed environments and approaches infrastructure with a product-driven mindset.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Facilitate the repeatable, auditable, and scalable provisioning of our speech inference stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Harden CI/CD pipelines to guarantee the secure, ultra-low-latency deployment of real-time speech services across all production environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the evolution of the end-to-end infrastructure powering Hark\u0026#39;s speech-to-speech models, including streaming pipelines, session management, and fault tolerance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with speech ML researchers to identify latency bottlenecks and translate complex requirements into robust infrastructure enhancements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Oversee system health and incident response, defining critical SLOs for real-time speech workloads where performance and uptime are paramount.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage capacity planning, cost efficiency, and the hardware lifecycle for the global speech inference fleet.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build internal tooling and platform abstractions to streamline the developer experience for teams operating on speech infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Possess 5+ years of expertise in infrastructure, systems, or platform engineering, including a minimum of 2 years dedicated to real-time or low-latency environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated success in deploying and managing large-scale inference frameworks or streaming infrastructure at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Showcase advanced proficiency in at least one systems-level or infrastructure-centric programming language.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain a deep technical understanding of networking fundamentals critical to real-time audio and low-latency inference, such as WebRTC or gRPC.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven experience with container orchestration, sophisticated job scheduling, and multi-tenant resource management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of technical ownership over production systems where high reliability and rigorous latency constraints are the standard.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exhibit robust debugging and observability capabilities across the entirety of the infrastructure stack.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in Kubernetes (K8s), with a focus on GPU-aware orchestration and the management of latency-sensitive workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Pulumi or comparable modern Infrastructure as Code (IaC) frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Advanced command of Rust or Go for developing systems-level tooling and performance-critical services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical familiarity with speech model architectures—including ASR, TTS, and end-to-end speech-to-speech—and their unique inference characteristics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with streaming data pipelines and transport layers, such as Kafka, WebSockets, or custom audio protocols.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between \u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;$180,000 - $450,000\u0026lt;/span\u0026gt; annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035269009,"name":"AI Infrastructure","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4218887009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4128091009,"location":{"name":"San Jose "},"metadata":null,"id":4218887009,"updated_at":"2026-04-30T18:40:25-04:00","requisition_id":"72","title":"Integration Engineer","company_name":"Hark","first_published":"2026-04-14T04:10:20-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll build and own the integrations layer that makes Hark\u0026#39;s AI agent genuinely useful in the real world. That means connecting it to the tools, services, and data sources people actually use every day.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;That means designing and shipping the protocols, connectors, and execution primitives that let Hark take real actions: reading and writing email, managing calendars, interacting with third-party APIs, and coordinating across services on a user\u0026#39;s behalf. The power of an agentic system is only as broad as what it can reach.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small team. You\u0026#39;ll work directly with platform engineers and model researchers, and the integrations you build will define the boundaries of what Hark can do.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build the integration layer that connects Hark\u0026#39;s agent to third-party services, including email, calendar, productivity tools, communication platforms, developer tools, and more.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the full lifecycle of integrations: authentication flows, API clients, schema normalization, action execution, and error handling. Build for reliability, not just the happy path.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and implement the tool and action protocols that let the agent interact with external systems safely and consistently. Make it easy to add new integrations without rewriting the stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with platform engineers to integrate connectors cleanly into the agent runtime. Tool execution needs to be fast, observable, and sandboxed appropriately.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with model researchers to define tool schemas and action semantics that models can reason about reliably. The quality of the interface shapes model behavior.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Instrument integrations for reliability and correctness. Track failures, surface regressions, and close the loop with the team quickly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify the highest-leverage integrations to prioritize, and drive the roadmap that expands what Hark can do in the world.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong backend engineering fundamentals. You are comfortable designing APIs, handling OAuth flows, working with webhooks and rate limits, and building systems that stay reliable across third-party dependencies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building integrations at scale. You\u0026#39;ve shipped connectors to real external services, and you know what breaks in production: auth token expiry, API schema drift, inconsistent error codes, flaky uptime. You build defensively.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Systems thinking. You can design an integrations framework that scales to dozens of services without becoming unmaintainable. You think in abstractions, not just one-off implementations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine curiosity about AI and agents. You understand how tool use works in LLM systems, you\u0026#39;ve thought about how action schemas affect model behavior, and you have opinions about what makes integrations reliable for autonomous agents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with ambiguity and fast iteration. This space moves fast. You can ship something real quickly, learn from production, and improve without waiting for perfect specs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication. You can collaborate across platform, research, and product, represent integration constraints clearly, and make sure the right tradeoffs get made.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of relevant software engineering experience. Experience building integrations or developer platforms is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building OAuth flows, webhook infrastructure, or API gateway layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with integration standards and protocols such as REST, GraphQL, gRPC, and MCP.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing tool-use schemas or function-calling interfaces for LLMs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior work on developer platforms, integration marketplaces, or iPaaS systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with execution sandboxing or permission-scoped action frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background at a fast-moving AI company or a company where integrations were core to the product.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $170,000 - $400,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4035264009,"name":"Product Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4255138009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4149245009,"location":{"name":"San Jose "},"metadata":null,"id":4255138009,"updated_at":"2026-05-21T12:56:28-04:00","requisition_id":null,"title":"Interface Designer","company_name":"Hark","first_published":"2026-05-21T12:45:47-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an extraordinarily talented Interface Designer to help shape the software experiences at Hark. Working within our multi-disciplinary design team, you will help craft the interfaces people use every day to interact with our intelligence. Across a variety of platforms, and form factors.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You care deeply about the details of interaction: how something feels to use, as much as how it works. You\u0026#39;re as comfortable defining interaction patterns as you are pushing visual quality.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will help define what it means to interact with personal AI, bringing clarity, craft and intention to every screen, state and moment in the product.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Designing interfaces across Hark\u0026#39;s software platforms, from early concept through to shipped product\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborating closely with product, engineering and brand to ensure a cohesive, high-quality experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Building and maintaining design systems that scale across surfaces\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exploring new interaction paradigms suited to agentic, voice-first and multimodal AI\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributing to the overall design culture and raising the bar for craft across the team\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of experience designing interfaces for software products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A portfolio demonstrating exceptional craft across visual design, interaction design and systems thinking\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep proficiency of design systems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience shipping products across web and mobile platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate design decisions clearly to cross-functional partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working in ambiguity and moving quickly without sacrificing quality\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A genuine curiosity about AI and the future of human-computer interaction\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $150,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4017920009,"name":"Design","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4277906009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4163135009,"location":{"name":"San Jose "},"metadata":null,"id":4277906009,"updated_at":"2026-06-08T01:06:53-04:00","requisition_id":null,"title":"IT Engineer","company_name":"Hark","first_published":"2026-06-08T01:06:53-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring an IT Engineer to own Hark\u0026#39;s internal IT infrastructure end-to-end. That means device management, identity and access, onboarding/offboarding, and the day-to-day support that keeps the team running. You\u0026#39;ll be the person who makes sure everything just works — and when it doesn\u0026#39;t, you fix it fast.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this high-ownership, hands-on position, you will be responsible for building systems from the ground up, implementing automation where possible, and serving as the primary technical resource for the entire team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own the full employee device lifecycle: provisioning, MDM enrollment (Kandji), configuration, and offboarding.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage identity and access across Hark\u0026#39;s SaaS stack (Okta/SSO, Google Workspace, and more).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain onboarding/offboarding workflows — automate wherever possible.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide responsive, high-quality support to employees across hardware, software, and access issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain least-privilege access controls and contribute to Hark\u0026#39;s security posture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identify and eliminate repetitive manual work through scripting and automation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2–5 years of IT experience in a startup or fast-moving tech environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with modern Mac fleet management (Kandji or Jamf).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with SSO and identity management (Okta or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong troubleshooting instincts — you can debug a broken enrollment or access issue without a runbook.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communication and a service mindset; you\u0026#39;re the person the team trusts to get things done.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to write basic scripts to automate repetitive tasks (Bash, Python, or similar).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a Kandji/Jamf shop or as a Kandji/Rippling alumni.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background at a startup that built IT from scratch\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with least-privilege provisioning and access review processes.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $100,000 - $180,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4055730009,"name":"Privacy \u0026 Security","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193774009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114064009,"location":{"name":"San Jose"},"metadata":null,"id":4193774009,"updated_at":"2026-04-30T17:42:57-04:00","requisition_id":"60","title":"Lead Brand Designer","company_name":"Hark","first_published":"2026-03-23T14:45:26-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence laboratory, building the most advanced, personal intelligence in the world.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We believe that artificial intelligence can be used to help offload our mental workload through thinking like us and sometimes ahead of us. Intelligence that is proactive and personalised through new models capable of interacting with the world through speech, text, vision and persistent memory.\u0026amp;nbsp;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for talented people to help lead our brand design at Hark. Working with or multi-disciplinary group of designers to craft the brand, web, creative direction, packaging, retail and more. You care deeply about craft and branding and are capable of working at both a high level and with incredible detail.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will help define the narrative of hark, while also ensuring that the execution of every detail meets our standards, from ideation to the way people see it in the world.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You are deeply ingrained into the culture of the world, care about the mission, creatively curious and love the craft of design.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Leading brand at Hark\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;You have 10+ years of experience on brand building and brand design across a variety of categories.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in crafting thoughtful, beautiful brand visuals, films and guidelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Are able to clearly communicate these concepts through a variety of ways to the team. You\u0026#39;re highly skilled in being able to visualise the work to keep the direction moving.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent verbal and written communication skills, internally and externally.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You love the design process\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience hiring and growing talent.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $150,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4017920009,"name":"Design","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4255166009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4149264009,"location":{"name":"San Jose "},"metadata":null,"id":4255166009,"updated_at":"2026-05-21T13:12:09-04:00","requisition_id":null,"title":"Manufacturing Design Engineer","company_name":"Hark","first_published":"2026-05-21T13:12:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for an incredible Manufacturing Design Engineer to bridge the gap between design intent and the physical product at Hark. You will work with ID and PD, ensuring that what we conceive is built exactly as imagined at quality and scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is the role where craft meets constraint. You understand materials, processes and tolerances at a deep level, and you use that knowledge to protect the integrity of the design all the way through production. You\u0026#39;ve worked closely with factories, tooling engineers and supply chain partners, and you know how to navigate that world without compromising what matters.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Partnering with industrial designers and mechanical engineers to translate design concepts into manufacturable products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Owning design for manufacturability (DFM) across materials, finishes, tolerances and assembly processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working directly with contract manufacturers, tooling vendors and supply chain partners to drive quality and consistency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Identifying and resolving manufacturing risks early in the development cycle\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintaining design intent through mass production, managing deviations and approving samples\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributing to process improvements that raise the quality bar across Hark\u0026#39;s hardware line\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;7+ years of experience in manufacturing design,\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge on working with finishes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep knowledge of manufacturing processes including CNC machining, injection moulding, die casting, surface finishing and assembly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working with contract manufacturers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of GD\u0026amp;amp;T, tolerancing and mechanical design principles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to protect design quality through high-volume production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working across time zones and cultures with factory and supplier partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A sharp eye for detail and an uncompromising standard for fit, finish and feel\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $150,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4017915009,"name":"Hardware Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4244885009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4142735009,"location":{"name":"San Jose "},"metadata":null,"id":4244885009,"updated_at":"2026-05-10T12:49:25-04:00","requisition_id":null,"title":"Marketing Lead","company_name":"Hark","first_published":"2026-05-10T01:47:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is seeking a Performance Marketing Lead to architect and execute our brand marketing and paid acquisition engine from its inception. You will be responsible for defining the overarching strategy, managing social and complex campaigns, and leveraging data-driven insights to accelerate growth—collaborating closely with leadership and cross-functional teams to introduce a truly transformative product to the market.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-impact, hands-on opportunity for an individual who excels at scaling systems efficiently and thrives in an environment where they are the one authoring the playbook rather than following one.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Direct and manage comprehensive social channels and paid acquisition initiatives across search, social, display, and various emerging digital platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect the foundation of our performance marketing infrastructure, establishing robust systems for attribution, tracking, and reporting from the ground up.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with design and brand teams to pioneer and validate creative strategies designed to maximize conversion and engagement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Synthesize complex product and organizational milestones into high-impact campaigns that resonate deeply with our target audience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Iteratively optimize capital allocation across diverse channels, utilizing rigorous data-driven insights rather than baseline assumptions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish core KPIs, monitor performance with precision, and maintain a rapid pace of iteration to drive sustained growth.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead the recruitment and development of a high-performance, lean marketing team as the organization continues to scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Over 5 years of professional experience in performance marketing, demonstrating direct accountability for paid budgets and quantifiable growth outcomes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of architecting paid acquisition programs from inception rather than merely maintaining existing frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep technical fluency across paid social, SEM, and sophisticated attribution modeling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analytical mindset with the ability to synthesize data into actionable hypotheses and execute rapid iterations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exceptional cross-functional communication skills, with the ability to collaborate effectively with creative, product, and executive leadership teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience marketing within a new product category or consumer hardware sector is highly advantageous.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A self-directed operator who thrives when authoring their own roadmap rather than following a predefined playbook.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $150,000 – $300,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4041890009,"name":"Marketing","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4185892009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4107741009,"location":{"name":"San Jose "},"metadata":null,"id":4185892009,"updated_at":"2026-04-30T18:24:54-04:00","requisition_id":"41","title":"Member of Technical Staff, Mid-training","company_name":"Hark","first_published":"2026-03-17T19:58:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Member of Technical Staff - Mid-Training to lead the development of training strategies that bridge pre-training and post-training, shaping how models acquire reasoning, planning, and tool-use capabilities at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits at the core of model capability development—defining how data, algorithms, and systems interact to unlock the next frontier of agent behavior.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement mid-training strategies to improve agent capabilities such as reasoning, planning, tool use, and long-horizon decision-making.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale synthetic data generation pipelines (e.g., coding, agent trajectories, multimodal data) and optimize data mixtures to improve downstream RL performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and optimize distributed training pipelines for large models, ensuring efficiency, stability, and scalability across GPU clusters.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and iterate on evaluation frameworks to measure model capability (e.g., task success, reasoning quality, tool use accuracy) and guide training improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct rigorous experimentation and ablations to understand training dynamics, scaling behavior, and bottlenecks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate cross-functionally with pre-training, post-training, and product teams to align model development with real-world agent use cases.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive technical innovation in areas such as long-context learning, data distillation, and training efficiency, while contributing to the overall model roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong background in machine learning, with hands-on experience training or fine-tuning large models — LLMs, multimodal, or equivalent systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of reinforcement learning: policy optimization, reward design, exploration, and the interplay between environment design and agent behavior.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or working within simulation or execution environments (e.g., code interpreters, sandboxed execution, game environments, robotics simulators).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to design and execute rigorous experiments, with strong intuition for diagnosing training failures and scaling bottlenecks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python and PyTorch; comfort working across research and systems code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work in a fast-moving, research-forward environment where the right approach is often unknown at the outset.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;We expect strong candidates to come from a range of backgrounds — RL research, robotics, competitive programming systems, compilers, formal methods, or large-scale ML — rather than post-training specifically. The field is new enough that directly relevant experience is rare; what matters is depth, rigor, and transferability.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with mid-training, post-training, or agent-focused model development or coding LLM training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with synthetic data generation, trajectory-based training, or coding/model distillation pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience training or scaling large models (100B+ parameters or equivalent systems).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in reinforcement learning, decision-making systems, or agent frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source ML systems or publications at top conferences (ICML, NeurIPS, ICLR, ACL, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience optimizing distributed training systems (GPU utilization, memory efficiency, communication).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4018879009,"name":"Computer Use Agents","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193974009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114178009,"location":{"name":"San Jose "},"metadata":null,"id":4193974009,"updated_at":"2026-04-30T18:13:34-04:00","requisition_id":"47","title":"Member of Technical Staff, Multimodal","company_name":"Hark","first_published":"2026-03-23T17:39:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the Omni team, you will help drive the development of real-time audio, video, and multimodal world\u0026amp;nbsp; models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive research and development agendas to advance real-time multimodal intelligence, including audio, video, and world modeling capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve data quality for large-scale multimodal training by developing data filtering, curation, and synthetic data generation techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build evaluation frameworks and internal benchmarks to measure model capability, reliability, and user experience across modalities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement efficient algorithms and training strategies to achieve state-of-the-art performance in multimodal foundation models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with product and engineering teams to translate research advances into impactful, real-world AI experiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of leading research that significantly improves neural network capability through advances in data, modeling, or training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience in data-driven experimentation, systematic analysis, and iterative model debugging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or working with large-scale distributed machine learning systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset and willingness to do whatever is necessary to deliver the best end-to-end AI user experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background in graphics engines, simulation, or rendering techniques is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with multimodal models, speech/audio systems, video models, or real-time AI systems is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4018869009,"name":"AI Foundation Models","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4194090009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114249009,"location":{"name":"San Jose "},"metadata":null,"id":4194090009,"updated_at":"2026-04-30T18:15:22-04:00","requisition_id":"65","title":"Member of Technical Staff, Multimodal Post-train/RL","company_name":"Hark","first_published":"2026-03-23T19:30:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the Omni team, you will help drive the development of real-time audio, video, and multimodal\u0026amp;nbsp; models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement efficient RL algorithms and training strategies to achieve state-of-the-art performance in multimodal foundation models, PPO/GRPO/RLHF\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive research and development agendas to advance real-time multimodal intelligence, including audio, video modeling capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve data quality for large-scale post training by developing data filtering, curation, and synthetic data generation techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build evaluation frameworks and internal benchmarks to measure model capability, reliability, and user experience across modalities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with product and engineering teams to translate research advances into impactful, real-world AI experiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of leading research that significantly improves neural network capability through advances in data, modeling, or training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience in data-driven experimentation, systematic analysis, and iterative model debugging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or working with large-scale distributed machine learning systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset and willingness to do whatever is necessary to deliver the best end-to-end AI user experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background in graphics engines, simulation, or rendering techniques is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with multimodal models, speech/audio systems, video models, or real-time AI systems is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4018869009,"name":"AI Foundation Models","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4194153009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114282009,"location":{"name":"San Jose "},"metadata":null,"id":4194153009,"updated_at":"2026-04-30T18:16:07-04:00","requisition_id":"66","title":"Member of Technical Staff, Multimodal Speech","company_name":"Hark","first_published":"2026-03-23T22:10:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the Omni team, you will drive the development of advanced speech and audio capabilities within multimodal foundation models. You will work across the full stack—from data and modeling to training, evaluation, and real-time serving—pushing the boundaries of speech intelligence and human-computer interaction.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive research and development to advance speech and audio capabilities in multimodal models, including speech recognition, synthesis, and understanding.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and improve large-scale speech and audio data pipelines, including data collection, filtering, alignment, and synthetic data generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement state-of-the-art models for speech and audio, including end-to-end multimodal architectures and real-time systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build evaluation frameworks and internal benchmarks to measure speech quality, latency, robustness, and overall user experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize models and systems for real-time performance, scalability, and production deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with product and engineering teams to translate research innovations into impactful, user-facing AI experiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of advancing speech or audio models through innovations in data, modeling, or training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience in speech/audio domains such as ASR, TTS, speech-to-speech, or audio foundation models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with large-scale machine learning systems and distributed training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in data-driven experimentation, systematic evaluation, and model iteration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset and ability to drive end-to-end impact from research to production.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with signal processing, acoustics, or audio representation learning is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with multimodal systems (speech + text, speech + vision) or real-time AI systems is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4018869009,"name":"AI Foundation Models","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193982009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114183009,"location":{"name":"San Jose "},"metadata":null,"id":4193982009,"updated_at":"2026-04-30T18:21:30-04:00","requisition_id":"64","title":"Member of Technical Staff, Multimodal Vision","company_name":"Hark","first_published":"2026-03-23T17:36:50-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the Omni team, you will help drive the development of text, video, and multimodal\u0026amp;nbsp; models. This includes working across the full stack—from data and modeling to training, serving, and product integration. You will contribute to both pretraining and posttraining efforts while collaborating closely with product teams to push the boundaries of model capability and deliver exceptional end-to-end user experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive research and development to advance vision and video capabilities in multimodal models, including image understanding, video modeling, and generative vision systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and improve large-scale vision and video data pipelines, including data collection, filtering, labeling, and synthetic data generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement state-of-the-art models for vision and video, including multimodal architectures that integrate vision with text and other modalities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build evaluation frameworks and internal benchmarks to measure model performance, robustness, and visual quality across tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize models and systems for scalability, efficiency, and real-time or production deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate closely with product and engineering teams to translate research innovations into impactful, user-facing AI experiences.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of advancing vision or video models through innovations in data, modeling, or training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong experience in areas such as image understanding, video modeling, generative vision (e.g., diffusion, autoregressive models), or multimodal learning.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with large-scale machine learning systems and distributed training.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in data-driven experimentation, evaluation, and iterative model development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset and ability to drive end-to-end impact from research to production.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Background in graphics, rendering, simulation, or 3D vision is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with multimodal systems (vision + text, vision + audio) or real-time AI systems is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4018869009,"name":"AI Foundation Models","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193741009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114045009,"location":{"name":"San Jose "},"metadata":null,"id":4193741009,"updated_at":"2026-04-30T18:25:56-04:00","requisition_id":"54","title":"Member of Technical Staff, Post-training","company_name":"Hark","first_published":"2026-03-23T14:28:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for a Member of Technical Staff, Post-Training to lead the development of post-training strategies that define how our models acquire coding, computer use, and agentic capabilities at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits at the frontier of a rapidly emerging discipline — one where reinforcement learning, simulation, and large-scale model training converge to produce agents that can reason, plan, and act over long horizons. There is no established playbook here. We\u0026#39;re looking for researchers and engineers who can bring rigor and creativity from adjacent fields — RL, robotics, game-playing systems, compiler tooling, formal verification, or program synthesis — and apply them to the next generation of coding and agentic AI.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and implement post-training strategies,\u0026amp;nbsp; primarily RL-based,\u0026amp;nbsp; to develop strong coding agents capable of multi-step reasoning, tool use, and long-horizon task completion.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and scale simulation and scaffolding environments for agentic RL: code execution sandboxes, computer use environments, tool-calling harnesses, and verifiable reward signals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop reward modeling pipelines — including outcome-based, execution-based, and process-based reward signals — and iterate on them based on training dynamics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Scale synthetic data generation and trajectory distillation pipelines that feed RL training and improve sample efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and run rigorous ablations to understand how algorithm choice, data mixture, reward shaping, and scale interact in the agentic setting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build evaluation frameworks grounded in real agent tasks — code correctness, execution success, multi-step tool use — to measure progress and guide iteration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with mid-training, infrastructure, and product teams to translate research insights into durable improvements on the model.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong background in machine learning, with hands-on experience training or fine-tuning large models — LLMs, multimodal, or equivalent systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of reinforcement learning: policy optimization, reward design, exploration, and the interplay between environment design and agent behavior.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or working within simulation or execution environments (e.g., code interpreters, sandboxed execution, game environments, robotics simulators).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to design and execute rigorous experiments, with strong intuition for diagnosing training failures and scaling bottlenecks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python and PyTorch; comfort working across research and systems code.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to work in a fast-moving, research-forward environment where the right approach is often unknown at the outset.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;We expect strong candidates to come from a range of backgrounds — RL research, robotics, competitive programming systems, compilers, formal methods, or large-scale ML — rather than post-training specifically. The field is new enough that directly relevant experience is rare; what matters is depth, rigor, and transferability.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with RL algorithms applied to language or code: RLHF, DPO, GRPO, PPO, or similar paradigms in the LLM setting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with coding agent benchmarks and evaluation environments (e.g., SWE-bench, HumanEval, LiveCodeBench, competitive programming judges).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in reward modeling — outcome-based, process-based, or learned reward signals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with trajectory-based training, imitation learning, or data distillation from stronger models or human demonstrations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior work on computer use, GUI agents, or tool-using LLMs (e.g., OSWorld, WebArena-style tasks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience training or scaling models at 10B+ parameters, with attention to efficiency, stability, and GPU utilization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source ML projects or publications at top venues (NeurIPS, ICML, ICLR, EMNLP, COLM, etc.).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4018879009,"name":"Computer Use Agents","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4194156009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114285009,"location":{"name":"San Jose "},"metadata":null,"id":4194156009,"updated_at":"2026-04-30T18:17:13-04:00","requisition_id":"67","title":"Member of Technical Staff, Pretraining","company_name":"Hark","first_published":"2026-03-23T22:09:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Omni team at Hark is building the next generation of AI experiences beyond text, enabling models to understand and generate content across multiple modalities, including text, audio, and vision. Our goal is to create seamless, real-time multimodal intelligence that powers intuitive and immersive user experiences.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the Omni team, you will focus on developing large-scale pretraining systems and foundation models. This includes working across the full stack—from data curation and large-scale training infrastructure to model architecture and optimization. You will play a key role in advancing the core capabilities of our models through pretraining at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Drive research and development in large-scale LLM and multimodal pretraining, focusing on improving model capability through better data, scaling, and architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and optimize data pipelines for pretraining, including large-scale data curation, filtering, deduplication, and synthetic data generation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement efficient training strategies for foundation models, including distributed training, scaling laws, and optimization techniques.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and improve pretraining infrastructure, including training systems, data pipelines, and compute efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop evaluation frameworks and internal benchmarks to measure pretraining progress and model capability.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with research and engineering teams to push the frontier of foundation model performance and scalability.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Proven track record of improving large-scale neural network performance through advances in pretraining data, modeling, or training systems.\u0026lt;br\u0026gt;Strong experience with large-scale distributed training (e.g., Megatron, DeepSpeed, or similar frameworks).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of LLM or multimodal pretraining, including data pipelines, scaling behavior, and optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in data-driven experimentation, systematic analysis, and debugging at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building or working with large-scale training infrastructure and high-performance computing systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset and ability to operate in fast-paced, research-driven environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with multimodal pretraining (text, audio, vision) is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4018869009,"name":"AI Foundation Models","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193717009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114028009,"location":{"name":"San Jose "},"metadata":null,"id":4193717009,"updated_at":"2026-04-30T18:35:47-04:00","requisition_id":"51","title":"Mobile Android Engineer","company_name":"Hark","first_published":"2026-03-23T14:14:01-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll build the Android experience for Hark: a native app that brings a real-time, multimodal AI agent into people\u0026#39;s pockets.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;That means shipping an app that feels instant, handles streaming AI responses gracefully, and integrates voice, text, and vision into a single coherent experience. The bar is high: this is the primary way millions of people will interact with Hark.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small team. You\u0026#39;ll work directly with designers, platform engineers, and the people building the models. What you ship will define how Hark feels in someone\u0026#39;s hand.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Architect and develop a high-performance native Android application using Kotlin and Jetpack Compose.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Implement real-time speech, audio, and video streaming capabilities for multimodal AI interactions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build efficient interfaces to backend AI services, optimizing for latency and responsiveness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the full mobile lifecycle from development through deployment, monitoring, and iteration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with design to create intuitive UI that showcases advanced AI capabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Champion Android development best practices including testing, code quality, and accessibility.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize performance at every level of the stack - UI rendering, network calls, background processing, and power consumption.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years of professional Android development experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert-level proficiency in Kotlin, Jetpack Compose, and the Android SDK.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of Android architecture patterns (MVVM, Clean Architecture) and dependency injection.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building apps with real-time features - streaming, WebSockets, or live audio/video.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Track record of shipping polished, high-quality applications to the Play Store.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of Android performance optimization, memory management, and battery efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working across the stack when needed, including interfacing with backend services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills and ability to work effectively in a fast-paced, collaborative environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating ML/AI features into mobile applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in audio/video processing, real-time communication, or 3D graphics on mobile.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributions to open-source Android projects or published technical writing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building 0-to-1 products at early-stage companies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Passion for exploring new interaction paradigms between humans and AI systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035264009,"name":"Product Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4187985009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4108964009,"location":{"name":"San Jose "},"metadata":null,"id":4187985009,"updated_at":"2026-04-30T18:36:51-04:00","requisition_id":"44","title":"Mobile iOS Engineer","company_name":"Hark","first_published":"2026-03-19T16:52:00-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll build the iOS experience for Hark: a native app that brings a real-time, multimodal AI agent into people\u0026#39;s pockets.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;That means shipping an app that feels instant, handles streaming AI responses gracefully, and integrates voice, text, and vision into a single coherent experience. The bar is high: this is the primary way millions of people will interact with Hark.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small team. You\u0026#39;ll work directly with designers, platform engineers, and the people building the models. What you ship will define how Hark feels in someone\u0026#39;s hand.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build and own the Hark iOS app. Architecture, UI, performance, and the end-to-end experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ship features that integrate real-time AI capabilities: streaming responses, voice input, tool invocations, and multimodal interactions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with designers to craft interfaces that feel fast, polished, and trustworthy. Sweat the details.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize for performance at every layer: startup time, animation smoothness, memory efficiency, and network latency.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own components end-to-end, from design and implementation through testing, launch, and iteration.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with platform and backend engineers on APIs, data contracts, and integration with the agent runtime.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Instrument what you ship. Track performance, catch regressions, and improve based on real-world usage.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong expertise in Swift, with deep knowledge of UIKit and SwiftUI, and a solid understanding of iOS system design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to build high-performance, responsive mobile applications, with experience optimizing for latency, memory, and real-time interactions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience designing and shipping intuitive, high-quality user experiences, with strong attention to detail and product craft.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with concurrency patterns (async/await, Combine) for building real-time, interactive applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating with backend systems and AI-powered services (REST, streaming APIs), ensuring smooth and reliable data flow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to own features end-to-end, from initial concept and architecture through implementation and deployment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of iOS engineering experience.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience building or contributing to AI-powered or agent-driven applications, especially involving voice, multimodal input, or real-time interaction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong product intuition, with the ability to translate emerging AI capabilities into user-facing experiences that feel natural and useful.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working in early-stage or 0-to-1 environments, with a track record of shipping quickly and iterating based on user feedback.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with the Apple ecosystem, including frameworks such as AVFoundation, Core ML, or real-time media processing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working across the stack or collaborating closely with backend and AI teams to deliver end-to-end features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High bar for engineering craft, with a track record of building polished, performant, and reliable mobile products.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $180,000 - $450,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components and benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035264009,"name":"Product Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4285199009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4167880009,"location":{"name":"San Jose "},"metadata":null,"id":4285199009,"updated_at":"2026-06-12T16:26:38-04:00","requisition_id":null,"title":"Model Distillation Engineer","company_name":"Hark","first_published":"2026-06-12T16:26:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;p1\u0026quot;\u0026gt;We are looking for a Model Distillation Engineer to compress large audio and multimodal models into student models that meet the size, latency, and power budgets of our shipping hardware. This role sits between training and production. You will take teacher models from our research pipeline and produce student models that run on DSP, NPU, and microcontroller targets across our product line. You will own distillation, quantization, and architecture-aware compression as a first-class work-stream.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Design and execute distillation strategies (response, feature, and self-distillation) to compress teacher models into deployable students\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Apply quantization (PTQ and QAT), pruning, and architecture search to hit per-product size, latency, and power budgets\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Build a reusable distillation and compression toolchain that the broader audio ML team can adopt across model families\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Partner with the broader audio ML team on training pipelines and with the runtime team on deployment targets\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Define accuracy retention and resource KPIs per product and track them through the release cycle\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Profile compressed models on target hardware and iterate with DSP and runtime engineers on bottlenecks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;3+ years of professional experience in model compression, distillation, quantization, or efficient deep learning\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Strong fluency in PyTorch or TensorFlow and modern compression libraries\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Hands-on experience taking models from full precision to fixed-point or int8 with controlled accuracy loss\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Comfort working close to hardware and reasoning about compute, memory bandwidth, and power as design constraints\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Track record of producing models that have shipped to constrained devices\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Solid foundation in audio or sequence model architectures (CNNs, transformers, RNN-T, conformers)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Experience with Hexagon DSP, NPUs, Ambiq class MCUs, or similar\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Experience with knowledge distillation at scale, including teacher-ensemble or multi-stage distillation\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Familiarity with neural architecture search and hardware-aware NAS\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li1\u0026quot;\u0026gt;Background shipping voice-first or far-field audio products\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;li2\u0026quot;\u0026gt;Contributions to open-source compression toolchains (TFLite, ONNX Runtime, AIMET, and similar)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4018869009,"name":"AI Foundation Models","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4221269009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4129340009,"location":{"name":"San Jose "},"metadata":null,"id":4221269009,"updated_at":"2026-04-30T17:41:52-04:00","requisition_id":null,"title":"Operating System Architect","company_name":"Hark","first_published":"2026-04-14T15:15:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Principal Embedded OS Architect to own the operating system strategy and software architecture across our consumer electronics portfolio, from early architecture through mass production.\u0026amp;nbsp; You\u0026#39;ll be the technical leader responsible for defining how our embedded software stacks are structured, how they scale across product lines, and how they perform.\u0026amp;nbsp; This role spans hands-on systems engineering up through strategic technical leadership and team build-out — you\u0026#39;ll shape architecture decisions while staying close to the code and the hardware.\u0026amp;nbsp; Partner closely with hardware, firmware, applications, and program management teams to drive alignment from NPI through sustained production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and evolve the embedded operating system architecture and platform strategy across the product portfolio\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Navigate tradeoffs across performance, power, schedule, and scalability, while ensuring\u0026amp;nbsp; rock-solid product dependability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead cross-functional software teams through full product lifecycles — from NPI bring-up and proto builds, validation build milestones through production ramp and sustaining engineering\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive technical decisions across every layer of the stack (BSP, kernel, middleware, services, application frameworks) with a focus on creating an AI-first platform foundation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Establish architectural standards, design review processes, and technical roadmaps that enable the team to ship on time without accumulating structural debt\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;10+ years of experience in embedded systems software with at least 5 years in a principal or staff-level architecture role, shipping consumer electronics products at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep expertise in embedded operating systems (e.g., embedded Linux, RTOS, or custom OS stacks) including kernel internals, memory management, scheduler tuning, driver frameworks, and boot architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated track record of leading engineering teams through complete NPI-to-production cycles, with hands-on involvement across BSP, middleware, and application layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong command of system-level performance optimization, power management strategies, and architecture patterns that scale across a multi-product portfolio.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience shipping product solutions including on-board AI models leveraging hardware acceleration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience defining OS platform strategy across a family of products with varying compute, connectivity, and cost profiles\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with secure boot chains, OTA update frameworks, and production provisioning workflows for high-volume manufacturing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in contributing to or integrating open-source embedded projects (Yocto/OpenEmbedded, Zephyr, Android Open Source, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with hardware/software co-design, including partnering with silicon teams on SoC selection and custom peripheral integration\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4027460009,"name":"Embedded Software","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4185891009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4107740009,"location":{"name":"San Jose"},"metadata":null,"id":4185891009,"updated_at":"2026-04-30T18:39:28-04:00","requisition_id":"40","title":"Platform Engineer","company_name":"Hark","first_published":"2026-03-17T20:51:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll build the platform that powers Hark\u0026#39;s AI agent — the runtime, the infrastructure, the primitives. Everything that makes the intelligence actually works in production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;That means owning the hard systems problems, such as low-latency streaming, reliable tool execution, memory and context at scale, and orchestration logic that holds up under real usage. You will be building the foundation that everything else runs on.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is a high-ownership role on a small team. You\u0026#39;ll work directly with the people building the models and the people shipping the product, and the systems you build will define what\u0026#39;s possible for both.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build the core runtime that powers Hark\u0026#39;s agent platform. Orchestration, tool execution, memory retrieval, streaming, and the systems that make all of it work reliably together.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own features end-to-end, from early prototyping alongside model researchers to production deployment and iteration based on real usage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect the platform primitives that the rest of the product team builds on. Agent runtimes, execution sandboxes, memory APIs, streaming pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Instrument and evaluate the product. Write evals, track quality regressions, and feed signals back into the model and product loop.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work across the stack when the problem requires it.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong systems engineering fundamentals. You are comfortable designing APIs, building reliable infrastructure, and reasoning about performance, concurrency, and failure modes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building production systems that real users depend on. You know the difference between something that works in a demo and something that works at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine curiosity about AI and agents. You have built with LLMs, thought about how they fail, and have opinions about what makes agentic systems reliable.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort with ambiguity and fast iteration. You can start with a rough problem, build something real, learn from it, and improve quickly.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication. You can explain tradeoffs clearly, collaborate across teams, and make good decisions with incomplete information.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;5+ years of relevant software engineering experience. Experience at a fast-growing AI or infrastructure-focused company is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bonus: hands-on experience with agent frameworks, streaming architectures, execution sandboxes, memory systems, or tool integration protocols.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a fast-growing AI or infrastructure-focused company.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with agent frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with streaming architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with execution sandboxes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with memory systems or tool integration protocols.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $170,000 - $400,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4035264009,"name":"Product Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4277905009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4163134009,"location":{"name":"San Jose "},"metadata":null,"id":4277905009,"updated_at":"2026-06-08T01:02:57-04:00","requisition_id":null,"title":"Privacy Engineer","company_name":"Hark","first_published":"2026-06-08T01:02:57-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Member of Technical Staff (Privacy Engineer) to own privacy infrastructure at Hark. You\u0026#39;ll design and build the systems that handle data subject access requests (DSARs), deletion pipelines, de-identification, and consent — and you\u0026#39;ll work directly with legal and engineering to translate regulatory requirements into durable technical architecture.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This position is focused on technical execution rather than policy. Your primary responsibilities will involve software development, system architecture, and the management of live production infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Design and build DSAR, deletion, and data retention pipelines across Hark\u0026#39;s services.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Architect de-identification and tokenization systems for sensitive data (PII, conversation content).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with legal and compliance to translate CCPA, GDPR, and other regulatory requirements into technical implementations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Embed privacy-by-design principles into Hark\u0026#39;s data infrastructure and product development process.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own privacy incident response and work cross-functionally to resolve data handling issues.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4–8 years of software engineering experience with a meaningful focus on privacy infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience building deletion, DSAR, or consent pipelines in production.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working at the intersection of engineering and legal/regulatory constraints — you can read a regulation and translate it into an architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with PII tokenization, de-identification, or data vaulting (Skyflow or similar).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong backend engineering fundamentals.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a privacy-infra company (Transcend, DataGrail, Securiti, Skyflow, Evervault).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background building privacy systems at scale (Meta, Google, Uber, Airbnb, DoorDash).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with synthetic data or de-identification tooling (Gretel, Tonic.ai).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $150,000 - $300,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4055730009,"name":"Privacy \u0026 Security","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4115928009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4078841009,"location":{"name":"San Jose"},"metadata":null,"id":4115928009,"updated_at":"2026-04-30T16:03:28-04:00","requisition_id":"10","title":"Product Design Engineer","company_name":"Hark","first_published":"2026-03-23T14:40:52-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Product Design Engineer to help shape the physical form of our AI-powered devices. You\u0026#39;ll work across the full product development cycle — concept sketches, CAD modeling, prototyping, and DFM — collaborating with electrical and ML engineers to design enclosures and mechanisms that accommodate complex sensor arrays, thermal systems, and compact compute modules.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead mechanical design of core hardware (enclosures, structural components, flex assemblies, interconnects) from concept to production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Convert industrial design intent into reliable, manufacturable, and precise engineering solutions, maintaining product vision and structural/functional performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and own specifications, tolerances, material selections, and 3D CAD across processes like injection molding, die casting, stamping, and CNC machining\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Drive Design for Manufacturability (DFM) and Design for Assembly (DFA) with manufacturing partners from early concept through production builds\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Use tolerance analysis, FEA, and DOE\u0026#39;s to validate designs and resolve failure modes pre-assembly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with Industrial Design, Electrical Engineering, Acoustic Engineering, Reliability \u0026amp;amp; Operations to unify design considerations (functionality, thermal management, human factors, reliability, cost, and aesthetics)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build functional prototypes in-house and travel to manufacturing facilities to support builds and resolve issues\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s in mechanical or product design engineering (or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;7+ years shipping consumer hardware from concept to mass production\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep fluency in mechanical CAD (NX preferred), strong GD\u0026amp;amp;T, tolerance analysis, dimensional management, and statistical software (JMP)\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable with hands-on prototyping and external partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience designing for high-volume manufacturing (injection molding, die casting, stamping, CNC machining)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;\u0026amp;nbsp;Proven ability to balance mechanical, electrical, and industrial design trade-offs at the system level\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Direct experience collaborating with external suppliers and contract manufacturers, including onsite factory support\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable in early-stage product development with ambiguous constraints and open solution space\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Masters in mechanical engineering, product design engineering, mechatronics engineering or similar\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in new product architecture \u0026amp;amp; shipping first generation devices in a lead role\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with in-field failure analysis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating complex sensors including microphones \u0026amp;amp; cameras\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience integrating displays, audio modules etc.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4017915009,"name":"Hardware Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4218847009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4128054009,"location":{"name":"San Jose "},"metadata":null,"id":4218847009,"updated_at":"2026-04-13T22:29:33-04:00","requisition_id":null,"title":"Product Design Engineer, Thermals","company_name":"Hark","first_published":"2026-04-13T22:29:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll drive the system-wide thermal architecture for our AI-centric consumer devices, from early concepts through detailed architecture and production validation.\u0026amp;nbsp; Balance performance, battery life, cost, and user comfort.\u0026amp;nbsp; Work hands-on across simulation, prototyping, and test to enable informed architecture analysis, proactively highlighting tradeoffs and opportunities.\u0026amp;nbsp; Collaborate closely with industrial design, mechanical, electrical, and software teams to converge holistic thermal solutions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Define and own the thermal architecture from early architecture \u0026amp;amp; NPI through production, including foundational system architecture simulation \u0026amp;amp; analysis, material selection, thermal solution design, and cost optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate product use cases and real-world usage profiles into thermal loading scenarios that drive early design iteration\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conduct detailed thermal analysis at variable fidelity levels as needed - analytic analysis for team directional analysis, coarse analysis for quick iteration of parallel ideas, and detailed analysis for high fidelity studies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and build custom thermal test infrastructure and measurement methodologies tailored to each product program\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner cross-functionally to ensure thermal constraints are integrated into system-level decisions around power budgets, enclosure design, and silicon selection\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;8+ years in thermal engineering with multiple shipped battery-powered consumer electronics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Expert-level experience with thermal simulation tools (Icepak, Fluent, Ansys, or similar) and real world correlation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep experience with thermal module technologies — heat pipes, vapor chambers, TIMs, graphite spreaders — and vendor evaluation at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in system-level power/thermal co-optimization with software or firmware teams\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven ability to build custom thermal test setups and drive data-backed architecture decisions during early NPI phases\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong cross-functional collaboration skills — translating thermal trade-offs into language that all engineering and design teams can act on\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with regulatory and safety thermal compliance (UL, IEC) for consumer products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience building internal thermal modeling tools, dashboards, or automated test frameworks\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4017915009,"name":"Hardware Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4244886009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4142736009,"location":{"name":"San Jose "},"metadata":null,"id":4244886009,"updated_at":"2026-05-10T01:55:22-04:00","requisition_id":null,"title":"Product Performance Engineer","company_name":"Hark","first_published":"2026-05-10T01:55:22-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build deep understanding of target workloads and characterize their compute, memory, bandwidth, and latency demands on a variety of target hardware platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Model performance at every level — silicon, system, service, and end-to-end user experience — and connect insights across layers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and maintain analytical and simulation-based models that project system performance across design and assumption variants\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with silicon, software, hardware, model, and service teams to align assumptions and deliver insights\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Validate models against measured workload behavior and continuously improve fidelity\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate findings into clear, actionable recommendations for architects, engineers, and leadership\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proactively identify performance risks and design opportunities ahead of architectural commit points\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years analyzing workload behavior and modeling system performance for consumer or data center products\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;BS in Computer Science, Electrical Engineering, or related technical discipline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with profiling, benchmarking, and tracing tools across the stack\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills in Python and at least one systems language (C/C++/Rust)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to translate quantitative analysis into architectural recommendations\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;MS or PhD in a relevant technical discipline\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with hardware/software co-design and architectural exploration tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with accelerator, SoC, or memory subsystem architecture\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort moving fluidly between rigorous quantitative work and cross-functional influence\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity, technical depth, and a bias toward learning new system domains quickly\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between \u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;$120,000 - $300,000\u0026lt;/span\u0026gt; annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4017915009,"name":"Hardware Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4277903009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4163132009,"location":{"name":"San Jose "},"metadata":null,"id":4277903009,"updated_at":"2026-06-08T01:03:29-04:00","requisition_id":null,"title":"Security Engineer","company_name":"Hark","first_published":"2026-06-08T00:58:55-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026amp;nbsp;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re hiring a Member of Technical Staff (Security Engineer) to own security engineering at Hark. You\u0026#39;ll threat-model our systems, harden our cloud and product infrastructure, build detection capabilities, and lead incident response when things go wrong. As AI agents become a core part of our product, you\u0026#39;ll also be on the frontier of LLM and agent security — a space with very few established playbooks.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is hands-on;\u0026amp;nbsp; you\u0026#39;ll be building and operating, not managing or auditing.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Threat-model Hark\u0026#39;s infrastructure, product, and agent/LLM attack surfaces.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Harden cloud infrastructure (EKS, IAM, network access paths) and review IaC for misconfigurations and vulnerabilities.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and maintain detection and alerting pipelines; lead triage and containment during incidents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering to embed security into the development lifecycle.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define and evolve Hark\u0026#39;s security posture as the product and team scale.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;4–8 years of hands-on security engineering experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep fluency in cloud security (AWS/GCP, IAM, Kubernetes, network hardening).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with detection engineering and incident response — you\u0026#39;ve triaged real alerts and contained real incidents.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to read and review infrastructure-as-code (Pulumi, Terraform, or similar) for security issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Genuine curiosity about LLM and agent security — this is new territory and we want someone excited to figure it out.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience at a cloud security company (Wiz, Orca, Datadog, Snyk) or a security-forward startup (Stripe, Figma, Ramp, Netflix).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with zero-trust networking (Tailscale, Cloudflare, HashiCorp Vault).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior exposure to AI/agent security threat modeling.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;The US base salary range for this full-time position is between $150,000 - $300,000 annually.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional\u0026lt;/p\u0026gt;","departments":[{"id":4055730009,"name":"Privacy \u0026 Security","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193771009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114061009,"location":{"name":"San Jose"},"metadata":null,"id":4193771009,"updated_at":"2026-04-30T16:19:51-04:00","requisition_id":"58","title":"Signal Integrity","company_name":"Hark","first_published":"2026-03-23T14:43:38-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Signal Integrity Engineer to join our hardware team and help ensure our AI-powered devices perform flawlessly at the electrical level. In this role, you\u0026#39;ll own SI analysis across high-speed interfaces — DDR, PCIe, USB, MIPI — and work closely with our PCB layout, ASIC, and mechanical design teams to solve the unique challenges that come with packing serious compute into compact, thermally constrained form factors. You\u0026#39;ll run simulations, validate designs in the lab, and feed findings back into our design rules as we scale from prototypes to volume production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;SI Analysis: Perform pre-layout and post-layout signal integrity simulations for high-speed interfaces (DDR4/5, PCIe Gen3/4, USB 3.x, MIPI CSI/DSI).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PI Analysis: Model and optimize power distribution networks (PDN), including decoupling strategies, plane resonance, and target impedance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Channel Modeling: Build channel models for SerDes links, run eye diagram analysis, and validate compliance margins.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PCB Stackup: Define PCB stackup, impedance profiles, and routing constraints in collaboration with layout engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lab Validation: Conduct bench-level measurements using oscilloscopes, VNAs, TDR, and spectrum analyzers to correlate simulation with hardware.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;EMI/EMC: Identify and mitigate electromagnetic interference issues at the board and system level, supporting regulatory certification.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design Rules: Develop and maintain SI/PI design guidelines and constraint sets for the hardware team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Education: BS/MS in Electrical Engineering with a focus on electromagnetics, RF, or signal integrity.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tool Proficiency: Hands-on experience with SI/PI tools such as Ansys HFSS, Keysight ADS/PathWave, Cadence Sigrity, or Simbeor.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;High-Speed Interfaces: Deep working knowledge of DDR, PCIe, USB, and/or MIPI signaling standards and compliance testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lab Skills: Expert-level skills with high-bandwidth oscilloscopes, VNAs, TDR equipment, and near-field EMI probes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;PCB Knowledge: Strong understanding of multi-layer PCB fabrication, materials (Dk/Df), and controlled-impedance routing.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Experience with LPDDR5 or high-speed memory interfaces on mobile/edge compute platforms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Background in RFIC or antenna design for Wi-Fi, Bluetooth, or UWB systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with 3D electromagnetic solvers for package-level or connector modeling.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting EMC certification (FCC, CE, VCCI) from design through test.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $300,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4017915009,"name":"Hardware Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/hark/jobs/4193777009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"internal_job_id":4114066009,"location":{"name":"San Jose"},"metadata":null,"id":4193777009,"updated_at":"2026-04-30T17:43:58-04:00","requisition_id":"61","title":"Technical Recruiter","company_name":"Hark","first_published":"2026-03-23T14:46:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About Hark\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Hark is an artificial intelligence company building advanced, personalized intelligence. One that is proactive, multimodal, and capable of interacting with the world through speech, text, vision, and persistent memory.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re pairing that intelligence with next-generation hardware to create a universal interface between humans and machines. While today\u0026#39;s AI largely operates through chat boxes and decade-old devices, Hark is focused on what comes next: agentic systems that interact naturally with people and the real world.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;To get there, we\u0026#39;re developing multimodal models and next-generation AI hardware together - designed from the ground up as a single, unified interface for a new era of intelligent systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The Technical Recruiter will be responsible for attracting top talent to tackle the complex challenges of building AI-powered hardware devices. This role requires a commitment to excellence and the ability to thrive in a fast-moving startup environment. The ideal candidate will focus on scaling our team intentionally—ensuring that we not only grow headcount but find the right individuals who align with our values of moving quickly, building exceptional hardware, and staying mission-driven.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Manage full-cycle recruiting for technical roles (hardware, firmware, AI/ML, operations) through sourcing, screening, interviewing, and closing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop a robust, diverse candidate pipeline via direct sourcing, networking, and referrals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering leads to define requirements and strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze recruiting metrics (time-to-fill, quality) to optimize the process.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure a positive candidate experience.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve the structured technical interview process.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support new hire onboarding.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Education: Bachelor’s degree.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience: 5+ years recruiting for technical roles, with a focus on hardware engineering, AI/ML, and embedded systems in fast-growing startups.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sourcing: Proven track record sourcing passive candidates and building talent pipelines for hard-to-fill engineering roles.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Tools: Proficiency with recruiting platforms and ATS systems (e.g., Greenhouse, Lever, LinkedIn Recruiter) to manage pipeline and reporting.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Communication: Strong interpersonal skills with the ability to build trusted relationships, provide strategic hiring advice, and push back on hiring managers when needed.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Bonus Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of the hardware and AI talent landscape, including the unique challenges of recruiting electrical engineers, mechanical engineers, and ML researchers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Previous experience as the first or early recruiting hire at a startup, building processes and infrastructure from scratch.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span data-sheets-root=\u0026quot;1\u0026quot;\u0026gt;The US base salary range for this full-time position is between $120,000 - $250,000 annually.\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.\u0026lt;/p\u0026gt;","departments":[{"id":4018874009,"name":"People","child_ids":[],"parent_id":null}],"offices":[{"id":4017188009,"name":"Hark","location":"San Jose, California, United States","child_ids":[],"parent_id":null}]}],"meta":{"total":46}}