{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4088962009","data_compliance":[{"type":"gdpr","requires_consent":false,"requires_processing_consent":false,"requires_retention_consent":false,"retention_period":null,"demographic_data_consent_applies":false}],"education":"education_required","internal_job_id":4058571009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4088962009,"updated_at":"2026-04-20T03:51:55-04:00","requisition_id":"7","title":"AI Infra Resident (1-Year Program)","company_name":"RadixArk","first_published":"2025-12-29T19:48:53-05:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;framer-nmjpis\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1eby8y6\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;About The Role\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-as7117\u0026quot; data-framer-name=\u0026quot;Summary\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-styles-preset=\u0026quot;SKu_rKZqD\u0026quot;\u0026gt;RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI infrastructure engineers. You\u0026#39;ll rotate across inference, training, kernels, compilers, and cluster infrastructure, working on real production systems alongside senior engineers. This is an opportunity to learn from the team behind SGLang and Miles while owning meaningful projects that impact thousands of developers.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-g3ip7c\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-8ko91k\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Requirements\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-yai085\u0026quot; data-framer-name=\u0026quot;Requirements\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;ul class=\u0026quot;framer-text\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Engineering, or related field (recent graduates welcome)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Strong foundations in systems programming, ML systems, or high-performance computing\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Experience with Python and/or C++; exposure to CUDA, JAX, or distributed systems is a plus\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Demonstrated ability to learn quickly and debug complex technical problems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Curiosity, grit, and willingness to dive deep into unfamiliar layers of the stack\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Desire to grow into a world-class AI infrastructure engineer\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Strong communication skills and ability to work collaboratively\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-svx6kq\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1uoatoj\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-y4b58j\u0026quot; data-framer-name=\u0026quot;Responsibilities\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;ul class=\u0026quot;framer-text\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Join a full-time, paid, 1-year residency focused on AI infrastructure\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Rotate across inference, training, kernels, compilers, and cluster infrastructure\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Work on real production systems: LLM serving (SGLang), diffusion inference (Flux, Wan), RL training (Miles), schedulers, and performance tooling\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Learn to debug failures across the full stack: model → runtime → kernel → hardware\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Own meaningful projects with close mentorship from senior engineers\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Contribute to SGLang, Miles, and other open-source projects\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Document learnings and create guides for the community\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Present technical deep-dives and share knowledge with the team\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Participate in code reviews and learn engineering best practices\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1vu7ugc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-173q4gz\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;About RadixArk\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1ndb85j\u0026quot; data-framer-name=\u0026quot;About RadixArk\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an infrastructure-first company built by enggineers who\u0026#39;ve shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework).\u0026lt;br\u0026gt;We\u0026#39;re on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training.\u0026lt;br\u0026gt;Our team has optimized kernels serving billions of tokens daily,designed distributed training systems\u0026amp;nbsp;coordinating 10,000+ GPUs, and contributed to infrastucture that powers leading Al companies and research labs.\u0026lt;br\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with \u0026amp;nbsp;NVIDIA, Google,AWS,and frontier Al labs.\u0026lt;br\u0026gt;Join us in building infrastructure that givees real leverage back to the Al community.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1xo2adc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1ouiht\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Compensation\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-3pynz3\u0026quot; data-framer-name=\u0026quot;Compensation\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;We offer competitive compensation for this 1-year residency program, with health benefits and potential for conversion to a full-time role. Compensation is determined by location and prior experience. Strong residents may receive offers to join RadixArk full-time with equity after program completion.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-uwejmz\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1oedabd\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1896wv9\u0026quot; data-framer-name=\u0026quot;Equal Opportunity\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4022965009,"name":"Radixark","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4258540009","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":4151223009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4258540009,"updated_at":"2026-06-18T13:14:36-04:00","requisition_id":"43","title":"Business Development and Developer Relations","company_name":"RadixArk","first_published":"2026-05-25T21:18:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re looking for a Head of Business Development to build the BD function at RadixArk from the ground up. The BD team is the institutional memory of this company — maintaining active relationships across every customer we\u0026#39;ve touched, detecting signals early, and ensuring nothing falls through the cracks. You\u0026#39;ll design the system, build the team, and run it.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;The role is equal parts relationship and rigor. You\u0026#39;ll hold the relationship thread across a broad customer surface while tracking coverage rates, handoff volume, signal trends, and engagement quality — and translating that into clear intelligence for the broader commercial organization.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We move fast, operate with a sense of urgency, and expect the same from everyone on the team.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Own\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Team Building\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Hire and develop a BD team; establish the culture, methodology, and cadence for maintaining customer relationships at scale\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Define the norms for how the BD team operates — how we track, how we communicate, how we escalate\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the BD team\u0026#39;s contribution to our single source of truth: the shared tracking sheet used by both BD and Adoption\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Relationship Coverage\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Maintain broad, active relationships across our full customer surface: early adopters, shallow contacts, and gated prospects we haven\u0026#39;t yet engaged deeply\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and run regular check-in rhythms (watching channels) that give us continuous pulse on the market without requiring deep-dive bandwidth from the full team\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide genuine relational continuity for customers when the Adoption team doesn\u0026#39;t have capacity — not just placeholder outreach, but real emotional presence\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Downstream Handoff\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Identify customers who are ready for deeper engagement and hand them off cleanly to the Adoption team — with full context, no gaps\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ensure raw data on gated customers remains accessible and well-documented so the Adoption team can run market research without starting from zero\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Strategy \u0026amp;amp; Intelligence\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Serve as the alert system for the company: surface important signals — bad news, emerging trends, inflection points — before they become surprises\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Synthesize BD observations into regular summaries and analyses that inform commercial strategy and resource allocation\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the bidirectional feedback loop between the BD team and the Adoption team — make sure learning flows both ways\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Provide guidance on where the company should invest engagement resources and where to pull back\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Strategic Partnerships\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Lead partnership development with industry leaders, regional leaders, and category leaders or rising stars in the AI infrastructure ecosystem\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own the full partnership lifecycle from prospecting to structuring to activation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Available for a in-office schedule with 5 days per week onsite at our Palo Alto office\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;10+ years of BD, sales, or partnerships experience, with meaningful time at a high-growth technology company\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record building teams and systems from scratch — you know what it means to create culture and methodology, not just inherit it\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deeply organized and systems-oriented: you think in coverage maps, tracking layers, and signal structures\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong commercial instincts — you know which customers matter most and how to prioritize attention accordingly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excellent communicator who builds genuine relationships, not just transactional touchpoints\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable operating at every level: you\u0026#39;ll set strategy and do the outreach in the same week\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low ego, high output — you do what it takes to keep the relationship surface warm and the team informed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience in developer tools, infrastructure, or deep tech is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs. Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation with meaningful equity, comprehensive benefits, and flexible work arrangements. Compensation depends on location, experience, and level.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4038850009,"name":"Sales","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4236345009","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":4138153009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4236345009,"updated_at":"2026-05-22T21:11:28-04:00","requisition_id":"39","title":"Corporate Counsel","company_name":"RadixArk","first_published":"2026-04-30T04:53:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for a Corporate Counsel to be our first in-house lawyer — and to build the legal foundation the company needs as we move from seed-stage into serious commercial and operational scale. This is not a narrow role. You’ll own everything from day-to-day contracts and commercial agreements to fundraising support, employment matters, IP, and compliance.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll have access to outside counsel for specialized work, but we expect you to handle the majority of legal work internally, manage outside counsel efficiently, and bring genuine judgment — not just process — to everything you touch.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll report directly to the Head of Finance \u0026amp;amp; Operations and work in close partnership with the founders. This is a rare opportunity to define what great looks like for Legal at RadixArk — and to build it yourself.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We move fast, operate with a sense of urgency, and expect the same from everyone on the team.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You’ll Own\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Commercial Contracts\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Negotiate, structure, and close commercial agreements — MSAs, SaaS agreements, vendor contracts, and partnership deals — representing the company’s interests while keeping deals moving\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own and manage NDA workflow end-to-end: reviewing inbound requests, redlining where appropriate, coordinating signatures, and maintaining a clean filing system\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support, structure, and negotiate customer-facing revenue agreements as commercial activity scales; manage the related legal workstreams from first draft through execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Escalate novel structures or terms that create downstream risk; flag issues that matter while letting routine matters close without unnecessary friction\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own our contracts repository and lifecycle management — tracking renewals, key dates, and obligations, and building lightweight processes to keep everything organized\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Corporate \u0026amp;amp; Fundraising\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Support strategic transactions, partnerships, financing, and any M\u0026amp;amp;A or acqui-hire activity; understand how deal structures interact with operational and business objectives\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support cap table integrity — stock option grants, 409A processes, and board and stockholder consents — in close partnership with finance and outside counsel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Manage corporate governance — maintaining records, coordinating board and committee matters, and ensuring the company is properly structured as it scales\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;IP \u0026amp;amp; Compliance\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Oversee IP protection — trademark filings, patent processes with outside counsel, and ensuring IP assignment and ownership is airtight across employees and contractors\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Monitor applicable regulatory and compliance requirements; provide proactive legal risk management rather than reactive triage\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Outside Counsel Management\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Work closely with specialized outside counsel across practice areas, ensuring their work product aligns with the company’s commercial objectives and moves at the pace the business requires\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Make smart build-vs.-refer decisions: handle what you can internally, escalate what genuinely requires specialization\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Available for a hybrid schedule with 3 days per week onsite at our Palo Alto office\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;4–7 years of legal experience, with a combination of law firm training and in-house experience at a technology company preferred\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;JD required; active bar membership in California (or eligibility for registered in-house counsel status)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable across a broad range of legal work — commercial contracts, corporate, employment, and IP — without needing to escalate routine matters\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong redlining and negotiation skills across NDAs, MSAs, SaaS agreements, vendor contracts, and similar commercial documents\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience supporting equity financings or working on transactions alongside outside counsel\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Sound judgment about what matters and what doesn’t — you don’t over-lawyer, and you understand that your job is to help the business move, not slow it down\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highly organized and self-directed — comfortable owning a broad portfolio without a legal team around you\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Low ego, high output — you’re willing to do the work at whatever level it needs to happen\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrity-first: we place a high premium on character and judgment in this role\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who’ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs. Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation with meaningful equity, comprehensive benefits, and flexible work arrangements. Compensation depends on location, experience, and level.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4040405009,"name":"Legal","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4286883009","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":4168860009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4286883009,"updated_at":"2026-06-15T20:54:30-04:00","requisition_id":"45","title":"Designer","company_name":"RadixArk","first_published":"2026-06-15T20:54:30-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div data-page-id=\u0026quot;UU1fdpOOzoO34gxmPH2j7HOGpdf\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;h2 class=\u0026quot;heading-2 ace-line old-record-id-AQfIdzWqooQawBxo3uRj6hbIpfI\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-WUMSdduJmofSS2xgPWljBWC7p4g\u0026quot;\u0026gt;RadixArk builds the open-source AI infrastructure behind SGLang and Miles, used by developers and enterprises around the world. We\u0026#39;re looking for a designer to give our brand a distinct visual voice, led by illustration, and who treats modern AI tools as part of their craft rather than a novelty. Taste and ideas matter to us more than years on a resume, which is why we read portfolios first and care most about the work itself. You\u0026#39;ll shape how RadixArk shows up everywhere from our site and decks to the conferences and community events we run. We care about craft and about building things that scale, so the best work here won\u0026#39;t just set the quality bar, it\u0026#39;ll become systems the whole team can build on. As our platform grows, there\u0026#39;s a real path into product, so we want someone with the curiosity and range to grow into a product designer or design engineer over time.\u0026lt;/div\u0026gt;\n\u0026lt;h2 class=\u0026quot;heading-2 ace-line old-record-id-PLqvd0pdMotc0GxarEBj0epgp6b\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Key Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-B2lPdo4Pvoi1BrxIvPZjSGMXpLc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Create original illustrations that define and extend the RadixArk and SGLang visual identity\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-LWxHd1rfaoFGvwxTmbhjxoVGpXT\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Build and steward a consistent brand system across every touchpoint\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-X4Tkdcqv0oJ64exZJmkjtBj0plh\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Use AI image tools (GPT Image 2, Nano Banana, and whatever comes next) to go from idea to polished asset quickly\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-RITJdBPzhoGrhBxnz7ijmtvGpth\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Use Claude Code as a design tool, for example to prototype landing pages and interactive web experiences in code, generate SVG illustrations and icon sets, and build or maintain design-system components and tokens\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Sa4Rdr0EWoPJMXxWsa5jBhltpPe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Collaborate with cross-functional partners across product, GTM, BD, engineering, and community to turn their goals into clear, compelling visuals and materials, both internal and external-facing, including conference and event collateral like slides, signage, booths, swag, and more\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-ZHKjdJKXaoWEa0xPaAJjXSMIpnm\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Produce a steady stream of visual content for blogs and social\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-JvoVda8Iho93kNxEixKj9sCZpff\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Partner with the team on product and platform polish, with room to grow into a product design role\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 class=\u0026quot;heading-2 ace-line old-record-id-IzTfd3wNgoQCDyxQqW4jaYWup42\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-N5bhdh40pogjE1xiQOEj7SXepId\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;A strong portfolio is the single most important thing we look at. Show us your best work and the example projects you\u0026#39;re proudest of, and tell us what you owned and why you made the choices you did\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-IrBId6I8WoAUVBxfejqjoFI9p0S\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Every application must include a link to your website or portfolio. Applications without one will not be reviewed.\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-WKzGd7TTloVplkxsaJCjlLVlpxb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Real fluency in illustration and brand or visual design, backed by example projects\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-IESkd7eSFoCHCqxB0gnjOkdtpaf\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Comfort folding AI tools into your everyday workflow, including image generation and Claude Code\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Yy0BdMDxdow1frxhbfejXxMspHb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Bonus: you\u0026#39;ve built reusable Claude Code skills for branding or design systems, or are excited to, so brand-consistent output scales across the team\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-XDLkd2xUqoBMiTxBpEbjLBlHpie\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Bonus: interest or experience in product design or design engineering\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-BwEAdpRhhoqpwLxXCeOjM2vop2f\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Bonus: you set taste rather than follow trends, and have high agency in a fast-moving, technical, open-source environment\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 class=\u0026quot;heading-2 ace-line old-record-id-Mw9IdApdQoTYkTx6EZtjmfa3pdb\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;To Apply\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-BHfXd6lg7obwJ7xslYWjC0pDpWg\u0026quot;\u0026gt;Send us your resume and portfolio or personal website (required) along with a short note on a project you\u0026#39;re proud of.\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4038850009,"name":"Sales","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4088965009","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":4060162009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4088965009,"updated_at":"2026-05-22T21:11:04-04:00","requisition_id":"16","title":"Developer Relationship","company_name":"RadixArk","first_published":"2025-12-30T00:16:59-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div data-page-id=\u0026quot;R5pEdqmJmoX3WtxIJiNjDTCKpUb\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;div data-page-id=\u0026quot;UlVrdTW48otscrxhh3pjaGb5pxf\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-FnFZd25acoHS8sxQSdjjDXXhp2e\u0026quot;\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-JmUudgTkeohuD6xsK1vjPQPupue\u0026quot;\u0026gt;RadixArk is seeking a Developer Advocate to build and engage our technical community around SGLang, Miles, and our open source infrastructure. SGLang already has 20K+ GitHub stars and serves billions of tokens daily across leading AI companies and research labs, and we\u0026#39;re looking for someone to be the bridge between our engineering team and the developers building on top of us.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-QJnjd1s7MouHiRxCOAdjyrF6pmb\u0026quot;\u0026gt;You\u0026#39;ll create technical content, give conference talks, host workshops, and work directly with developers to help them succeed with our systems. This role combines deep technical expertise with community building, and you\u0026#39;ll have real influence over how our products are perceived and adopted by the broader AI infrastructure community.\u0026lt;/div\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-NW7adMfVtoxeqBxurkZjTGOwp8g\u0026quot;\u0026gt;Key Responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-P6a6duSjaoLeuAxjN3pjg32Ephc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Technical Content \u0026amp;amp; Education:\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;Create technical content that helps developers succeed with SGLang and Miles, including tutorials, cookbooks, video guides, blog posts, and live streams. Host workshops and live coding sessions demonstrating deployment patterns and optimization techniques. Build demo applications and reference architectures that showcase what\u0026#39;s possible on RadixArk\u0026#39;s infrastructure. Partner with engineering to translate new features into accessible content as soon as they ship.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-ZJcqdKRano9VfSxDisujCRvvpFf\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Conference \u0026amp;amp; External Representation:\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;Give talks at conferences, meetups, and webinars on AI infrastructure optimization and best practices. Represent RadixArk at industry events, hackathons, and university recruiting activities. Build relationships with AI researchers, infrastructure engineers, and technical leaders to grow RadixArk\u0026#39;s presence in the community.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Tto4dpkUAocor8x5vpNjnko4pXg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Community Engagement:\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;Engage directly with developers on GitHub, Discord, and social media to answer questions, triage feedback, and surface what the community is building. Identify and amplify community contributions, success stories, and innovative use cases. Build and maintain relationships with influential developers, open source maintainers, and technical educators.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-RANKdx3tJoJ3p1xF2M3jwWIBpvh\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Engineering \u0026amp;amp; Product Partnership:\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;Gather product feedback from the community and synthesize insights for engineering and product teams. Bring real developer pain points back into roadmap conversations, and close the loop with the community on what\u0026#39;s been delivered. Track community metrics and continuously improve how we engage with developers.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-OkhQdDI5QoPEURx1YZbjw6xypuS\u0026quot;\u0026gt;Qualifications\u0026lt;/h3\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-BUuDdEm6BodEGPxb8AAj9X6vpAh\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Minimum Requirements\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-IRY8dW8QUomeI4xKabhjAEbip5b\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;4+ years of experience in developer advocacy, developer relations, or a senior engineering role with significant community-facing work.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-PRNsdognZou4K4xjQysjNR58pHc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Strong technical background with hands-on experience building AI applications or infrastructure.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-AJmgdNTtoooxbpxYsZvjkQrmpke\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Excellent public speaking skills with a proven track record of conference talks and technical presentations.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-BEocdktHTodkqhxSbpZjJnj3p0b\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Outstanding writing and content creation abilities across formats including tutorials, blog posts, videos, and live streams.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-AYfYd92dIoRXKXxOXsrjSxaopqh\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Solid understanding of AI/ML infrastructure, including LLM serving, distributed training, and GPU optimization.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-ZrSfdqCAhoytWixoMjqj4EKKpLe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Proficiency in Python and the ability to write production quality code examples.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-PNXAdZzjCoAarnxsJiijoWAKpHa\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Self-starter who can identify opportunities and drive initiatives independently.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-I69NdysnhoPbB3x1DSxjuiqdpvd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Genuine passion for open source development and community building.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-Oo9VdzgnnoTAKcxdL60jBkHeppe\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Preferred (Bonus) Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-A2H0dlguGoh3MXxDy3kjCOSIpAf\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Active presence in developer communities such as GitHub, Twitter/X, Discord, or Reddit.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-OOoddbjI1oihxsxZDEtjkkPYpoh\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Existing relationships with AI infrastructure engineers, researchers, or open source maintainers.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Zsc9dI7wfoOyQZxpVqNj4bqupS9\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience working with or contributing to popular open source AI/ML projects.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-H9pNdqGNSoDUjhxkAHujCC3Tpmp\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Familiarity with C++, CUDA, or kernel-level optimization.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Fds9dW7Rvot4OYxNfQqjPTMhpud\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience running developer programs at an infrastructure or developer tools company.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-IRePdmEpQoO9bvxCvyRjsz5rpmd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div data-page-id=\u0026quot;R5pEdqmJmoX3WtxIJiNjDTCKpUb\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-ERtLd5x3VoD76RxAUmJjQncGpNb\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-ERtLd5x3VoD76RxAUmJjQncGpNb\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-HJRhdNvyCoqEKwx5D1kjf6z0pCf\u0026quot;\u0026gt;About RadixArk\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-ERtLd5x3VoD76RxAUmJjQncGpNb\u0026quot;\u0026gt;RadixArk is an infrastructure-first company built by enggineers who\u0026#39;ve shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework).\u0026lt;br\u0026gt;We\u0026#39;re on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training.\u0026lt;br\u0026gt;Our team has optimized kernels serving billions of tokens daily,designed distributed training systems\u0026amp;nbsp;coordinating 10,000+ GPUs, and contributed to infrastucture that powers leading Al companies and research labs.\u0026lt;br\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with \u0026amp;nbsp;NVIDIA, Google,AWS,and frontier Al labs.\u0026lt;br\u0026gt;Join us in building infrastructure that givees real leverage back to the Al community.\u0026lt;/div\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-KzCAde6Ado0xqmxNmSxjCXnjpxV\u0026quot;\u0026gt;Compensation\u0026lt;/h3\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-VxOsddO3foGkydxJ0cgjKuNFp5b\u0026quot;\u0026gt;We offer competitive compensation with equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.\u0026lt;/div\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-QHY8d4tqzoQseixKmcGjanrvp06\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/h3\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-P6aBdw7buo2iaXxpWUfjU5gbpRe\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-D8gcd8ovZocwvWxsfAkjnqKSpvb\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4130434009","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":4085931009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4130434009,"updated_at":"2026-05-22T21:10:41-04:00","requisition_id":"8","title":"Full Stack Engineer","company_name":"RadixArk","first_published":"2026-02-12T05:04:02-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;framer-nmjpis\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1eby8y6\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;About The Role\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-as7117\u0026quot; data-framer-name=\u0026quot;Summary\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-styles-preset=\u0026quot;SKu_rKZqD\u0026quot;\u0026gt;RadixArk is building the infrastructure layer for frontier AI systems — unified inference, training, and evaluation stacks powering next-generation LLM applications at scale. Our platform integrates high-performance model serving, RL pipelines, and large-scale distributed systems across GPUs, TPUs, and emerging accelerators. We work at the intersection of systems engineering, AI research, and developer experience. We are looking for a world-class Full Stack Engineer who thrives in high-ambiguity environments and wants to build foundational tools for the next decade of AI.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-g3ip7c\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-8ko91k\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Requirements\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-yai085\u0026quot; data-framer-name=\u0026quot;Requirements\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h6 class=\u0026quot;framer-text framer-styles-preset-qljc3\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;framer-text\u0026quot;\u0026gt;Technical Excellence\u0026lt;/strong\u0026gt;\u0026lt;/h6\u0026gt;\n\u0026lt;ul class=\u0026quot;framer-text\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;4+ years of professional full stack engineering experience\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Based in Palo Alto, CA (Hybrid) / Remote (U.S.)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Deep experience in:\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;framer-text\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;framer-text\u0026quot;\u0026gt;Frontend:\u0026lt;/strong\u0026gt; React / Next.js / TypeScript\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;framer-text\u0026quot;\u0026gt;Backend:\u0026lt;/strong\u0026gt; Python (FastAPI / Django) or Node.js\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RESTful and/or gRPC API design\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Strong understanding of distributed systems concepts\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Experience building systems that handle real-time streaming or high-throughput workloads\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Strong database design skills (Postgres, Redis, etc.)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Familiarity with containerized environments (Docker, Kubernetes)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Strong software engineering fundamentals: testing, CI/CD, version control, design reviews\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h6 class=\u0026quot;framer-text framer-styles-preset-qljc3\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/h6\u0026gt;\n\u0026lt;h6 class=\u0026quot;framer-text framer-styles-preset-qljc3\u0026quot;\u0026gt;Bonus (High Impact)\u0026lt;/h6\u0026gt;\n\u0026lt;ul class=\u0026quot;framer-text\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Experience building developer tools or infrastructure platforms\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Experience in ML infrastructure, model serving, or AI tooling\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Experience with WebSockets or streaming architectures\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Performance optimization at scale\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Experience building internal platforms used by engineers\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-svx6kq\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1uoatoj\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-y4b58j\u0026quot; data-framer-name=\u0026quot;Responsibilities\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;framer-text\u0026quot;\u0026gt;You will own end-to-end product surfaces across our developer platform:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;framer-text\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Design and implement high-performance web applications for AI infrastructure tooling\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Build scalable backend systems that interact with distributed inference and training services\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Architect APIs and service layers that serve enterprise and research customers\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Develop observability dashboards, experiment tracking UIs, and performance analytics tools\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Optimize real-time streaming interfaces for model inference workflows\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Work closely with ML engineers and infra teams to expose complex systems through intuitive product surfaces\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Lead architectural decisions for frontend-backend communication, state management, and performance tuning\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Ship production-grade features in fast iteration cycles\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;You will not just “write UI.”\u0026lt;br class=\u0026quot;framer-text\u0026quot;\u0026gt;You will build the control plane for frontier AI systems.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;\u0026lt;br class=\u0026quot;framer-text\u0026quot;\u0026gt;\u0026lt;br class=\u0026quot;framer-text\u0026quot;\u0026gt;\u0026lt;strong class=\u0026quot;framer-text\u0026quot;\u0026gt;Your work will directly power:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul class=\u0026quot;framer-text\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Large-scale LLM inference systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Reinforcement learning training platforms\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Evaluation and experimentation frameworks\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot; data-preset-tag=\u0026quot;p\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Developer-facing AI infrastructure products\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;This is not CRUD dashboard engineering.\u0026lt;br class=\u0026quot;framer-text\u0026quot;\u0026gt;This is building the operating system for AI builders.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1vu7ugc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-173q4gz\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;About RadixArk\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1ndb85j\u0026quot; data-framer-name=\u0026quot;About RadixArk\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an infrastructure-first company built by enggineers who\u0026#39;ve shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework).\u0026lt;br\u0026gt;We\u0026#39;re on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training.\u0026lt;br\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastucture that powers leading Al companies and research labs.\u0026lt;br\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with \u0026amp;nbsp;NVIDIA, Google,AWS,and frontier Al labs.\u0026lt;br\u0026gt;Join us in building infrastructure that gives real leverage back to the Al community.Compensation\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1xo2adc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-3pynz3\u0026quot; data-framer-name=\u0026quot;Compensation\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-uwejmz\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1oedabd\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Compensation\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1896wv9\u0026quot; data-framer-name=\u0026quot;Equal Opportunity\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;We offer competitive compensation with equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.\u0026lt;/p\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/h3\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone\u0026amp;nbsp;regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4226122009","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":4132367009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4226122009,"updated_at":"2026-05-22T21:10:20-04:00","requisition_id":"34","title":"Member of Technical Staff — CI Engineer","company_name":"RadixArk","first_published":"2026-04-20T00:08:33-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is hiring a Member of Technical Staff — CI Engineer to own the infrastructure that keeps SGLang moving. Our CI system runs 300+ GPU tests across NVIDIA, AMD, Intel, and Ascend hardware pools, gating every commit to one of the fastest-growing open-source LLM inference engines. When CI is green and fast, 100+ contributors ship with confidence. When it isn\u0026#39;t, the entire project stalls. That bottleneck is your problem to solve.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You won\u0026#39;t just maintain pipelines — you\u0026#39;ll architect them. You\u0026#39;ll replace brittle static thresholds with regression-based detection, harden runners against supply-chain attacks from fork PRs, and cut cycle times so contributors get feedback in minutes, not hours. You\u0026#39;ll work directly with core maintainers, hardware partners, and the open-source community to keep the system that gates every merge request trustworthy, fast, and secure.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a role for someone who wants to write CI YAML and walk away. It\u0026#39;s for an engineer who treats CI infrastructure the way we treat serving infrastructure — as a system worth designing well.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own CI reliability end-to-end — triage failures, distinguish real regressions from flaky tests and infra issues, keep main green\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build regression-based CI — replace hardcoded static thresholds with automated baseline comparison (metrics pipeline, durable storage, detection logic)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Harden runner infrastructure — ephemeral runners, container isolation, security hardening for fork PR execution\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Cut CI time — right-size eval suites, deduplicate server startups, separate PR smoke tests from nightly full runs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve developer experience — faster feedback, clearer failure messages, workflow orchestration\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years operating CI/CD at scale (GitHub Actions, Buildkite, Jenkins, GitLab CI, or similar)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep Linux, Docker, GPU computing knowledge\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Self-hosted runner management experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong Bash and Python\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security mindset — CI supply chain risks, fork PR attack vectors, runner hardening\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;NVIDIA GPU drivers, CUDA, NCCL, InfiniBand/RDMA experience in CI contexts\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with ML inference workloads (model loading, KV cache, quantization)\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026amp;nbsp;\u0026lt;/h3\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Nice to Have\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Large open-source project CI experience (100+ contributors)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AMD ROCm or Intel XPU CI pipelines\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What Success Looks Like\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Day 20 — Full CI landscape understood, daily triage taken over, top recurring flaky tests fixed, PR CI time reduced 30%+\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Day 40 — Regression-based checks live on nightly CI, ephemeral runner prototype deployed, runner isolation in place\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Day 60 — Zero flaky tests. Main CI 100% green when no real regression exists\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base with meaningful equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;How to Apply\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;Reach out via Slack or email. CI fix PRs to major open-source projects are worth more than a resume.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4134836009","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":4088914009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4134836009,"updated_at":"2026-05-22T21:09:41-04:00","requisition_id":"23","title":"Member of Technical Staff — Cluster / Platform","company_name":"RadixArk","first_published":"2026-02-17T02:36:43-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2 data-start=\u0026quot;201\u0026quot; data-end=\u0026quot;222\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;204\u0026quot; data-end=\u0026quot;222\u0026quot;\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;224\u0026quot; data-end=\u0026quot;405\u0026quot;\u0026gt;RadixArk is looking for a\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong data-start=\u0026quot;250\u0026quot; data-end=\u0026quot;300\u0026quot;\u0026gt;Member of Technical Staff (Cluster / Platform)\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;to architect and scale the core compute platform that powers frontier-level AI training and inference.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;407\u0026quot; data-end=\u0026quot;634\u0026quot;\u0026gt;You will design and operate highly reliable, high-performance GPU/TPU clusters, build next-generation scheduling and resource management systems, and push the limits of large-scale distributed infrastructure for AI workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;636\u0026quot; data-end=\u0026quot;854\u0026quot;\u0026gt;This role focuses on deep systems engineering across cluster architecture, networking, scheduling, and performance optimization. Your work will directly impact how efficiently frontier AI models are trained and served.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;861\u0026quot; data-end=\u0026quot;880\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;864\u0026quot; data-end=\u0026quot;880\u0026quot;\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;882\u0026quot; data-end=\u0026quot;1536\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;882\u0026quot; data-end=\u0026quot;981\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;884\u0026quot; data-end=\u0026quot;981\u0026quot;\u0026gt;5+ years of experience in distributed systems, infrastructure, or large-scale compute platforms\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;982\u0026quot; data-end=\u0026quot;1058\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;984\u0026quot; data-end=\u0026quot;1058\u0026quot;\u0026gt;Strong background in distributed systems design and systems architecture\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1059\u0026quot; data-end=\u0026quot;1157\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1061\u0026quot; data-end=\u0026quot;1157\u0026quot;\u0026gt;Deep experience with cluster management systems (Kubernetes, Slurm, Ray, or custom schedulers)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1158\u0026quot; data-end=\u0026quot;1236\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1160\u0026quot; data-end=\u0026quot;1236\u0026quot;\u0026gt;Hands-on experience with GPU/TPU infrastructure in production environments\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1237\u0026quot; data-end=\u0026quot;1289\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1239\u0026quot; data-end=\u0026quot;1289\u0026quot;\u0026gt;Strong Linux systems and networking fundamentals\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1290\u0026quot; data-end=\u0026quot;1356\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1292\u0026quot; data-end=\u0026quot;1356\u0026quot;\u0026gt;Proficiency in Go, Rust, C++, or Python for production systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1357\u0026quot; data-end=\u0026quot;1466\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1359\u0026quot; data-end=\u0026quot;1466\u0026quot;\u0026gt;Experience debugging complex multi-layer issues across hardware, OS, networking, and distributed services\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1467\u0026quot; data-end=\u0026quot;1536\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1469\u0026quot; data-end=\u0026quot;1536\u0026quot;\u0026gt;Proven ability to design reliable, scalable systems in production\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p data-start=\u0026quot;1538\u0026quot; data-end=\u0026quot;1554\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1538\u0026quot; data-end=\u0026quot;1554\u0026quot;\u0026gt;Strong Plus:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1556\u0026quot; data-end=\u0026quot;1837\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1556\u0026quot; data-end=\u0026quot;1603\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1558\u0026quot; data-end=\u0026quot;1603\u0026quot;\u0026gt;Experience with large-scale ML/AI workloads\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1604\u0026quot; data-end=\u0026quot;1673\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1606\u0026quot; data-end=\u0026quot;1673\u0026quot;\u0026gt;Familiarity with RDMA, InfiniBand, or high-performance networking\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1674\u0026quot; data-end=\u0026quot;1726\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1676\u0026quot; data-end=\u0026quot;1726\u0026quot;\u0026gt;Experience operating clusters at 1000+ GPU scale\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1727\u0026quot; data-end=\u0026quot;1780\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1729\u0026quot; data-end=\u0026quot;1780\u0026quot;\u0026gt;Background in HPC or performance-critical systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1781\u0026quot; data-end=\u0026quot;1837\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1783\u0026quot; data-end=\u0026quot;1837\u0026quot;\u0026gt;Open-source contributions in systems or infrastructure\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;1844\u0026quot; data-end=\u0026quot;1867\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1847\u0026quot; data-end=\u0026quot;1867\u0026quot;\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1869\u0026quot; data-end=\u0026quot;2606\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1869\u0026quot; data-end=\u0026quot;1945\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1871\u0026quot; data-end=\u0026quot;1945\u0026quot;\u0026gt;Architect and scale large AI compute clusters for training and inference\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1946\u0026quot; data-end=\u0026quot;2020\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1948\u0026quot; data-end=\u0026quot;2020\u0026quot;\u0026gt;Design cluster management, scheduling, and resource allocation systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2021\u0026quot; data-end=\u0026quot;2095\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2023\u0026quot; data-end=\u0026quot;2095\u0026quot;\u0026gt;Optimize performance, utilization, and reliability of GPU/TPU clusters\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2096\u0026quot; data-end=\u0026quot;2154\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2098\u0026quot; data-end=\u0026quot;2154\u0026quot;\u0026gt;Improve fault tolerance and system resilience at scale\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2155\u0026quot; data-end=\u0026quot;2244\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2157\u0026quot; data-end=\u0026quot;2244\u0026quot;\u0026gt;Drive observability, monitoring, and performance profiling for cluster infrastructure\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2245\u0026quot; data-end=\u0026quot;2323\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2247\u0026quot; data-end=\u0026quot;2323\u0026quot;\u0026gt;Collaborate with ML and systems engineers to support frontier AI workloads\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2324\u0026quot; data-end=\u0026quot;2388\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2326\u0026quot; data-end=\u0026quot;2388\u0026quot;\u0026gt;Lead capacity planning and infrastructure scaling strategies\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2389\u0026quot; data-end=\u0026quot;2463\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2391\u0026quot; data-end=\u0026quot;2463\u0026quot;\u0026gt;Build internal platforms and tooling to improve developer productivity\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2464\u0026quot; data-end=\u0026quot;2540\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2466\u0026quot; data-end=\u0026quot;2540\u0026quot;\u0026gt;Document architecture, operational practices, and reliability strategies\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2541\u0026quot; data-end=\u0026quot;2606\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2543\u0026quot; data-end=\u0026quot;2606\u0026quot;\u0026gt;Contribute to long-term platform vision and technical direction\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;2613\u0026quot; data-end=\u0026quot;2634\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2616\u0026quot; data-end=\u0026quot;2634\u0026quot;\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;2636\u0026quot; data-end=\u0026quot;2863\u0026quot;\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;2865\u0026quot; data-end=\u0026quot;2998\u0026quot;\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;3000\u0026quot; data-end=\u0026quot;3217\u0026quot;\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;3219\u0026quot; data-end=\u0026quot;3324\u0026quot;\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;3326\u0026quot; data-end=\u0026quot;3411\u0026quot;\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3418\u0026quot; data-end=\u0026quot;3437\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3421\u0026quot; data-end=\u0026quot;3437\u0026quot;\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3439\u0026quot; data-end=\u0026quot;3611\u0026quot;\u0026gt;We offer competitive compensation with equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3618\u0026quot; data-end=\u0026quot;3642\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3621\u0026quot; data-end=\u0026quot;3642\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3644\u0026quot; data-end=\u0026quot;3926\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4134889009","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":4088947009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4134889009,"updated_at":"2026-05-22T21:09:16-04:00","requisition_id":"25","title":"Member of Technical Staff — Diffusion Model","company_name":"RadixArk","first_published":"2026-02-17T05:33:07-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2 data-start=\u0026quot;330\u0026quot; data-end=\u0026quot;351\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;333\u0026quot; data-end=\u0026quot;351\u0026quot;\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;353\u0026quot; data-end=\u0026quot;472\u0026quot;\u0026gt;RadixArk is seeking a\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong data-start=\u0026quot;375\u0026quot; data-end=\u0026quot;422\u0026quot;\u0026gt;Member of Technical Staff — Diffusion Model\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;to advance the frontier of generative modeling.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;474\u0026quot; data-end=\u0026quot;787\u0026quot;\u0026gt;You will work on cutting-edge diffusion and flow-based models for image, video, and multimodal generation, pushing model quality, efficiency, and scalability. This role combines deep research thinking with strong engineering execution — from designing novel algorithms to training and deploying models at scale.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;789\u0026quot; data-end=\u0026quot;918\u0026quot;\u0026gt;Your work will directly shape next-generation generative AI systems used by researchers, developers, and real-world applications.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;920\u0026quot; data-end=\u0026quot;1054\u0026quot;\u0026gt;This is a high-impact role for engineers and researchers who want to push the limits of generative models in both theory and practice.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;1061\u0026quot; data-end=\u0026quot;1080\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1064\u0026quot; data-end=\u0026quot;1080\u0026quot;\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1082\u0026quot; data-end=\u0026quot;1653\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1082\u0026quot; data-end=\u0026quot;1149\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1084\u0026quot; data-end=\u0026quot;1149\u0026quot;\u0026gt;5+ years of experience in ML research or applied ML engineering\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1150\u0026quot; data-end=\u0026quot;1263\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1152\u0026quot; data-end=\u0026quot;1263\u0026quot;\u0026gt;Strong expertise in diffusion models or generative models (DDPM, DDIM, latent diffusion, flow matching, etc.)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1264\u0026quot; data-end=\u0026quot;1333\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1266\u0026quot; data-end=\u0026quot;1333\u0026quot;\u0026gt;Deep understanding of deep learning fundamentals and optimization\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1334\u0026quot; data-end=\u0026quot;1396\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1336\u0026quot; data-end=\u0026quot;1396\u0026quot;\u0026gt;Proven experience training large-scale models on GPUs/TPUs\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1397\u0026quot; data-end=\u0026quot;1437\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1399\u0026quot; data-end=\u0026quot;1437\u0026quot;\u0026gt;Strong proficiency in PyTorch or JAX\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1438\u0026quot; data-end=\u0026quot;1501\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1440\u0026quot; data-end=\u0026quot;1501\u0026quot;\u0026gt;Experience implementing research ideas into working systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1502\u0026quot; data-end=\u0026quot;1581\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1504\u0026quot; data-end=\u0026quot;1581\u0026quot;\u0026gt;Strong mathematical foundation in probability, statistics, and optimization\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1582\u0026quot; data-end=\u0026quot;1653\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1584\u0026quot; data-end=\u0026quot;1653\u0026quot;\u0026gt;Ability to move from research prototypes to production-quality models\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 data-start=\u0026quot;1660\u0026quot; data-end=\u0026quot;1679\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1664\u0026quot; data-end=\u0026quot;1679\u0026quot;\u0026gt;Strong Plus\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1681\u0026quot; data-end=\u0026quot;2122\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1681\u0026quot; data-end=\u0026quot;1755\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1683\u0026quot; data-end=\u0026quot;1755\u0026quot;\u0026gt;Publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, etc.)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1756\u0026quot; data-end=\u0026quot;1808\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1758\u0026quot; data-end=\u0026quot;1808\u0026quot;\u0026gt;Experience with large-scale distributed training\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1809\u0026quot; data-end=\u0026quot;1878\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1811\u0026quot; data-end=\u0026quot;1878\u0026quot;\u0026gt;Experience in multimodal generation (text-to-image, video, audio)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1879\u0026quot; data-end=\u0026quot;1943\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1881\u0026quot; data-end=\u0026quot;1943\u0026quot;\u0026gt;Familiarity with transformer architectures and hybrid models\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1944\u0026quot; data-end=\u0026quot;2009\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1946\u0026quot; data-end=\u0026quot;2009\u0026quot;\u0026gt;Experience improving sampling speed and generation efficiency\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2010\u0026quot; data-end=\u0026quot;2068\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2012\u0026quot; data-end=\u0026quot;2068\u0026quot;\u0026gt;Contributions to open-source generative model projects\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2069\u0026quot; data-end=\u0026quot;2122\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2071\u0026quot; data-end=\u0026quot;2122\u0026quot;\u0026gt;Experience scaling models to billions of parameters\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;2129\u0026quot; data-end=\u0026quot;2152\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2132\u0026quot; data-end=\u0026quot;2152\u0026quot;\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;2154\u0026quot; data-end=\u0026quot;2672\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;2154\u0026quot; data-end=\u0026quot;2224\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2156\u0026quot; data-end=\u0026quot;2224\u0026quot;\u0026gt;Design and develop next-generation diffusion and generative models\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2225\u0026quot; data-end=\u0026quot;2290\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2227\u0026quot; data-end=\u0026quot;2290\u0026quot;\u0026gt;Improve model quality, controllability, and sample efficiency\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2291\u0026quot; data-end=\u0026quot;2353\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2293\u0026quot; data-end=\u0026quot;2353\u0026quot;\u0026gt;Research and implement novel training and sampling methods\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2354\u0026quot; data-end=\u0026quot;2410\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2356\u0026quot; data-end=\u0026quot;2410\u0026quot;\u0026gt;Optimize models for large-scale distributed training\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2411\u0026quot; data-end=\u0026quot;2477\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2413\u0026quot; data-end=\u0026quot;2477\u0026quot;\u0026gt;Collaborate with systems teams to scale training and inference\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2478\u0026quot; data-end=\u0026quot;2540\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2480\u0026quot; data-end=\u0026quot;2540\u0026quot;\u0026gt;Translate research ideas into practical production systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2541\u0026quot; data-end=\u0026quot;2598\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2543\u0026quot; data-end=\u0026quot;2598\u0026quot;\u0026gt;Evaluate models using rigorous metrics and benchmarks\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2599\u0026quot; data-end=\u0026quot;2672\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2601\u0026quot; data-end=\u0026quot;2672\u0026quot;\u0026gt;Contribute to long-term research and product direction in generative AI\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;2679\u0026quot; data-end=\u0026quot;2700\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2682\u0026quot; data-end=\u0026quot;2700\u0026quot;\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3369\u0026quot; data-end=\u0026quot;3388\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3372\u0026quot; data-end=\u0026quot;3388\u0026quot;\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3390\u0026quot; data-end=\u0026quot;3560\u0026quot;\u0026gt;We offer competitive compensation with meaningful equity, comprehensive benefits, and flexible work arrangements. Compensation depends on location, experience, and level.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3567\u0026quot; data-end=\u0026quot;3591\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3570\u0026quot; data-end=\u0026quot;3591\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3593\u0026quot; data-end=\u0026quot;3680\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4134888009","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":4088943009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4134888009,"updated_at":"2026-06-14T23:07:08-04:00","requisition_id":"24","title":"Member of Technical Staff — Inference","company_name":"RadixArk","first_published":"2026-02-17T05:19:36-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2 data-start=\u0026quot;254\u0026quot; data-end=\u0026quot;275\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;257\u0026quot; data-end=\u0026quot;275\u0026quot;\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;277\u0026quot; data-end=\u0026quot;390\u0026quot;\u0026gt;RadixArk is seeking a\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong data-start=\u0026quot;299\u0026quot; data-end=\u0026quot;340\u0026quot;\u0026gt;Member of Technical Staff — Inference\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;to push the limits of large-scale AI inference.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;392\u0026quot; data-end=\u0026quot;652\u0026quot;\u0026gt;You will work on the core systems that serve frontier models at scale, optimizing performance, latency, throughput, and cost across thousands of GPUs. This role sits at the intersection of systems engineering, ML infrastructure, and performance optimization.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;654\u0026quot; data-end=\u0026quot;760\u0026quot;\u0026gt;Your work will directly shape how state-of-the-art models are deployed and experienced by users worldwide.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;762\u0026quot; data-end=\u0026quot;930\u0026quot;\u0026gt;This is a deeply technical, high-impact role for engineers who enjoy working close to the hardware–software boundary and solving performance-critical problems at scale.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;937\u0026quot; data-end=\u0026quot;956\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;940\u0026quot; data-end=\u0026quot;956\u0026quot;\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;958\u0026quot; data-end=\u0026quot;1592\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;958\u0026quot; data-end=\u0026quot;1067\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;960\u0026quot; data-end=\u0026quot;1067\u0026quot;\u0026gt;5+ years of experience in systems engineering, ML infrastructure, or performance-critical backend systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1068\u0026quot; data-end=\u0026quot;1151\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1070\u0026quot; data-end=\u0026quot;1151\u0026quot;\u0026gt;Strong expertise in large-scale inference systems for LLMs or generative models\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1152\u0026quot; data-end=\u0026quot;1226\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1154\u0026quot; data-end=\u0026quot;1226\u0026quot;\u0026gt;Deep understanding of GPU architecture and performance characteristics\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1227\u0026quot; data-end=\u0026quot;1304\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1229\u0026quot; data-end=\u0026quot;1304\u0026quot;\u0026gt;Experience optimizing latency- and throughput-critical production systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1305\u0026quot; data-end=\u0026quot;1376\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1307\u0026quot; data-end=\u0026quot;1376\u0026quot;\u0026gt;Strong knowledge of distributed systems and networking fundamentals\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1377\u0026quot; data-end=\u0026quot;1443\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1379\u0026quot; data-end=\u0026quot;1443\u0026quot;\u0026gt;Proficiency in Python, Rust, C++, or Go for production systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1444\u0026quot; data-end=\u0026quot;1511\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1446\u0026quot; data-end=\u0026quot;1511\u0026quot;\u0026gt;Experience profiling and optimizing compute-intensive workloads\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1512\u0026quot; data-end=\u0026quot;1592\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1514\u0026quot; data-end=\u0026quot;1592\u0026quot;\u0026gt;Strong debugging skills across system layers (model, runtime, kernel, network)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 data-start=\u0026quot;1599\u0026quot; data-end=\u0026quot;1618\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1603\u0026quot; data-end=\u0026quot;1618\u0026quot;\u0026gt;Strong Plus\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1620\u0026quot; data-end=\u0026quot;2000\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1620\u0026quot; data-end=\u0026quot;1693\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1622\u0026quot; data-end=\u0026quot;1693\u0026quot;\u0026gt;Experience with LLM serving stacks (SGLang, vLLM, TensorRT-LLM, etc.)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1941\u0026quot; data-end=\u0026quot;2000\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1943\u0026quot; data-end=\u0026quot;2000\u0026quot;\u0026gt;Open-source contributions in ML or systems infrastructure\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1694\u0026quot; data-end=\u0026quot;1758\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1696\u0026quot; data-end=\u0026quot;1758\u0026quot;\u0026gt;Familiarity with CUDA, Triton, or custom kernel optimization\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1759\u0026quot; data-end=\u0026quot;1835\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1761\u0026quot; data-end=\u0026quot;1835\u0026quot;\u0026gt;Experience with batching, KV-cache management, and scheduling strategies\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1836\u0026quot; data-end=\u0026quot;1890\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1838\u0026quot; data-end=\u0026quot;1890\u0026quot;\u0026gt;Experience running inference at scale (1000+ GPUs)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1891\u0026quot; data-end=\u0026quot;1940\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1893\u0026quot; data-end=\u0026quot;1940\u0026quot;\u0026gt;Background in HPC or high-performance systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;2007\u0026quot; data-end=\u0026quot;2030\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2010\u0026quot; data-end=\u0026quot;2030\u0026quot;\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;2032\u0026quot; data-end=\u0026quot;2652\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;2032\u0026quot; data-end=\u0026quot;2105\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2034\u0026quot; data-end=\u0026quot;2105\u0026quot;\u0026gt;Design and build large-scale inference systems for frontier AI models\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2106\u0026quot; data-end=\u0026quot;2183\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2108\u0026quot; data-end=\u0026quot;2183\u0026quot;\u0026gt;Optimize latency, throughput, and GPU utilization in production inference\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2184\u0026quot; data-end=\u0026quot;2248\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2186\u0026quot; data-end=\u0026quot;2248\u0026quot;\u0026gt;Develop and improve model serving architectures and runtimes\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2249\u0026quot; data-end=\u0026quot;2315\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2251\u0026quot; data-end=\u0026quot;2315\u0026quot;\u0026gt;Work on batching, scheduling, and memory management strategies\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2316\u0026quot; data-end=\u0026quot;2400\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2318\u0026quot; data-end=\u0026quot;2400\u0026quot;\u0026gt;Collaborate with kernel, compiler, and systems teams on performance optimization\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2401\u0026quot; data-end=\u0026quot;2451\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2403\u0026quot; data-end=\u0026quot;2451\u0026quot;\u0026gt;Debug performance bottlenecks across the stack\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2452\u0026quot; data-end=\u0026quot;2517\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2454\u0026quot; data-end=\u0026quot;2517\u0026quot;\u0026gt;Drive reliability and scalability of inference infrastructure\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2518\u0026quot; data-end=\u0026quot;2590\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2520\u0026quot; data-end=\u0026quot;2590\u0026quot;\u0026gt;Build tooling for observability, profiling, and performance analysis\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2591\u0026quot; data-end=\u0026quot;2652\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2593\u0026quot; data-end=\u0026quot;2652\u0026quot;\u0026gt;Contribute to long-term inference architecture and strategy\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;2659\u0026quot; data-end=\u0026quot;2680\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2662\u0026quot; data-end=\u0026quot;2680\u0026quot;\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3402\u0026quot; data-end=\u0026quot;3421\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3405\u0026quot; data-end=\u0026quot;3421\u0026quot;\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3423\u0026quot; data-end=\u0026quot;3593\u0026quot;\u0026gt;We offer competitive compensation with meaningful equity, comprehensive benefits, and flexible work arrangements. Compensation depends on location, experience, and level.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3600\u0026quot; data-end=\u0026quot;3624\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3603\u0026quot; data-end=\u0026quot;3624\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3626\u0026quot; data-end=\u0026quot;3713\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4134913009","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":4088959009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4134913009,"updated_at":"2026-05-22T21:08:35-04:00","requisition_id":"27","title":"Member of Technical Staff — Kernel / Compiler / Communication","company_name":"RadixArk","first_published":"2026-02-17T06:34:17-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2 data-start=\u0026quot;382\u0026quot; data-end=\u0026quot;403\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;385\u0026quot; data-end=\u0026quot;403\u0026quot;\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;405\u0026quot; data-end=\u0026quot;553\u0026quot;\u0026gt;RadixArk is seeking a\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong data-start=\u0026quot;427\u0026quot; data-end=\u0026quot;492\u0026quot;\u0026gt;Member of Technical Staff — Kernel / Compiler / Communication\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;to push the limits of performance for frontier AI systems.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;555\u0026quot; data-end=\u0026quot;739\u0026quot;\u0026gt;You will work at the lowest layers of the stack — kernels, runtimes, compilers, and communication libraries — to unlock maximum efficiency from modern accelerators and interconnects.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;741\u0026quot; data-end=\u0026quot;956\u0026quot;\u0026gt;This role is critical to scaling training and inference across thousands of GPUs, where microseconds and memory bandwidth matter. Your work will directly shape the performance envelope of next-generation AI systems.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;958\u0026quot; data-end=\u0026quot;1109\u0026quot;\u0026gt;This is a deeply technical role for engineers who enjoy working close to hardware and solving performance problems that most engineers never encounter.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;1116\u0026quot; data-end=\u0026quot;1135\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1119\u0026quot; data-end=\u0026quot;1135\u0026quot;\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1137\u0026quot; data-end=\u0026quot;1693\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1137\u0026quot; data-end=\u0026quot;1212\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1139\u0026quot; data-end=\u0026quot;1212\u0026quot;\u0026gt;5+ years of experience in systems, compiler, or performance engineering\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1213\u0026quot; data-end=\u0026quot;1268\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1215\u0026quot; data-end=\u0026quot;1268\u0026quot;\u0026gt;Strong expertise in CUDA or accelerator programming\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1269\u0026quot; data-end=\u0026quot;1332\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1271\u0026quot; data-end=\u0026quot;1332\u0026quot;\u0026gt;Deep understanding of GPU architecture and memory hierarchy\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1333\u0026quot; data-end=\u0026quot;1394\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1335\u0026quot; data-end=\u0026quot;1394\u0026quot;\u0026gt;Experience writing or optimizing high-performance kernels\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1395\u0026quot; data-end=\u0026quot;1459\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1397\u0026quot; data-end=\u0026quot;1459\u0026quot;\u0026gt;Strong background in compilers, runtimes, or code generation\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1460\u0026quot; data-end=\u0026quot;1539\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1462\u0026quot; data-end=\u0026quot;1539\u0026quot;\u0026gt;Experience with distributed communication libraries (NCCL, MPI, RCCL, etc.)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1540\u0026quot; data-end=\u0026quot;1603\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1542\u0026quot; data-end=\u0026quot;1603\u0026quot;\u0026gt;Solid knowledge of networking and interconnect technologies\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1604\u0026quot; data-end=\u0026quot;1637\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1606\u0026quot; data-end=\u0026quot;1637\u0026quot;\u0026gt;Proficiency in C++ and Python\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1638\u0026quot; data-end=\u0026quot;1693\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1640\u0026quot; data-end=\u0026quot;1693\u0026quot;\u0026gt;Strong debugging and profiling skills at system level\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 data-start=\u0026quot;1700\u0026quot; data-end=\u0026quot;1719\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1704\u0026quot; data-end=\u0026quot;1719\u0026quot;\u0026gt;Strong Plus\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1721\u0026quot; data-end=\u0026quot;2153\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1721\u0026quot; data-end=\u0026quot;1766\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1723\u0026quot; data-end=\u0026quot;1766\u0026quot;\u0026gt;Experience with Triton, TVM, XLA, or MLIR\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1767\u0026quot; data-end=\u0026quot;1828\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1769\u0026quot; data-end=\u0026quot;1828\u0026quot;\u0026gt;Experience building compiler passes or IR transformations\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1829\u0026quot; data-end=\u0026quot;1877\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1831\u0026quot; data-end=\u0026quot;1877\u0026quot;\u0026gt;Familiarity with NVLink, InfiniBand, or RDMA\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1878\u0026quot; data-end=\u0026quot;1937\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1880\u0026quot; data-end=\u0026quot;1937\u0026quot;\u0026gt;Experience optimizing collective communication at scale\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1938\u0026quot; data-end=\u0026quot;1991\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1940\u0026quot; data-end=\u0026quot;1991\u0026quot;\u0026gt;Background in HPC or performance-critical systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1992\u0026quot; data-end=\u0026quot;2051\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1994\u0026quot; data-end=\u0026quot;2051\u0026quot;\u0026gt;Contributions to kernel/compiler/ML systems open source\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2052\u0026quot; data-end=\u0026quot;2098\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2054\u0026quot; data-end=\u0026quot;2098\u0026quot;\u0026gt;Experience scaling workloads to 1000+ GPUs\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2099\u0026quot; data-end=\u0026quot;2153\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2101\u0026quot; data-end=\u0026quot;2153\u0026quot;\u0026gt;Experience with mixed-precision or quantized kernels\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;2160\u0026quot; data-end=\u0026quot;2183\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2163\u0026quot; data-end=\u0026quot;2183\u0026quot;\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;2185\u0026quot; data-end=\u0026quot;2761\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;2185\u0026quot; data-end=\u0026quot;2251\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2187\u0026quot; data-end=\u0026quot;2251\u0026quot;\u0026gt;Design and implement high-performance kernels for AI workloads\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2252\u0026quot; data-end=\u0026quot;2307\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2254\u0026quot; data-end=\u0026quot;2307\u0026quot;\u0026gt;Optimize compiler and runtime stacks for ML systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2308\u0026quot; data-end=\u0026quot;2370\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2310\u0026quot; data-end=\u0026quot;2370\u0026quot;\u0026gt;Improve communication efficiency across large GPU clusters\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2371\u0026quot; data-end=\u0026quot;2439\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2373\u0026quot; data-end=\u0026quot;2439\u0026quot;\u0026gt;Reduce latency and increase throughput for distributed workloads\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2440\u0026quot; data-end=\u0026quot;2501\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2442\u0026quot; data-end=\u0026quot;2501\u0026quot;\u0026gt;Profile and eliminate system bottlenecks across the stack\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2502\u0026quot; data-end=\u0026quot;2579\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2504\u0026quot; data-end=\u0026quot;2579\u0026quot;\u0026gt;Collaborate with training and inference teams on performance optimization\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2580\u0026quot; data-end=\u0026quot;2638\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2582\u0026quot; data-end=\u0026quot;2638\u0026quot;\u0026gt;Develop tooling for profiling and performance analysis\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2639\u0026quot; data-end=\u0026quot;2712\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2641\u0026quot; data-end=\u0026quot;2712\u0026quot;\u0026gt;Contribute to long-term architecture for performance-critical systems\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2713\u0026quot; data-end=\u0026quot;2761\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2715\u0026quot; data-end=\u0026quot;2761\u0026quot;\u0026gt;Push the limits of hardware–software co-design\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;2768\u0026quot; data-end=\u0026quot;2789\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2771\u0026quot; data-end=\u0026quot;2789\u0026quot;\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3345\u0026quot; data-end=\u0026quot;3364\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3348\u0026quot; data-end=\u0026quot;3364\u0026quot;\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3366\u0026quot; data-end=\u0026quot;3536\u0026quot;\u0026gt;We offer competitive compensation with meaningful equity, comprehensive benefits, and flexible work arrangements. Compensation depends on location, experience, and level.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3543\u0026quot; data-end=\u0026quot;3567\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3546\u0026quot; data-end=\u0026quot;3567\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3569\u0026quot; data-end=\u0026quot;3656\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4250682009","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":4146552009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4250682009,"updated_at":"2026-05-22T21:08:14-04:00","requisition_id":"42","title":"Member of Technical Staff — Supercomputing","company_name":"RadixArk","first_published":"2026-05-17T19:42:02-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is hiring a \u0026lt;strong\u0026gt;Member of Technical Staff — Supercomputing\u0026lt;/strong\u0026gt; to help build, deploy, and operate production-grade AI infrastructure for frontier-scale inference and training workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role sits at the intersection of engineering, deployment, reliability, and customer infrastructure. You will work on bringing up SGLang, Miles, and the RadixArk infrastructure stack across cloud GPUs, customer VPCs, dedicated clusters, and partner environments. You will help ensure that our systems are not only fast in benchmarks, but reliable, observable, and operationally robust in real production settings.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a traditional DevOps or SRE role. You will need to understand the model, the serving engine, the cluster, the workload, and the production constraints. One day you may be helping a customer bring up a new model on a GPU cluster; another day you may be debugging P99 latency, GPU utilization, autoscaling, networking behavior, deployment failures, or reliability regressions.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are looking for someone hands-on, technically strong, calm under pressure, and excited to build the supercomputing foundation for a new category of AI infrastructure company.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Deploy SGLang, Miles, and RadixArk infrastructure across customer, cloud, VPC, and dedicated cluster environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bring up production inference and training workloads for open-weight and customer-specific models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Own deployment reliability, environment management, rollout processes, and production validation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Debug issues across LLM serving, Kubernetes, networking, GPU infrastructure, storage, cloud capacity, and customer systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build and improve observability for latency, throughput, uptime, error rates, GPU utilization, memory usage, capacity, and workload health.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve monitoring, alerting, incident response, runbooks, postmortems, and operational processes.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help design capacity planning, autoscaling, and reliability strategies for GPU-intensive workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with engineering teams to improve deployment tooling, automation, CI/CD, and production readiness.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with customer engineering teams during POCs, production launches, and ongoing operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Feed deployment and reliability pain points back into the product and engineering roadmap.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help build the foundation for a world-class supercomputing deployment and reliability organization.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What We’re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong hands-on experience operating production systems at meaningful scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Linux, containers, Kubernetes, networking, cloud infrastructure, and distributed systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with GPU infrastructure, LLM inference serving, ML systems, or large-scale training workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong debugging skills across infrastructure, orchestration, serving, and performance layers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with Python, Bash, Docker, Kubernetes, Terraform, and cloud environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with observability tools such as Prometheus, Grafana, Datadog, OpenTelemetry, ELK, or similar systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of production metrics such as latency, throughput, uptime, GPU utilization, memory usage, capacity, and error rates.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to communicate clearly with both internal engineering teams and external customer teams.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong ownership mindset and good judgment under pressure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience in production engineering, SRE, platform engineering, deployment engineering, ML infrastructure, or cloud operations is a strong plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with AWS, GCP, Azure, OCI, CoreWeave, Lambda, Crusoe, or similar infrastructure providers is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first AI company built by engineers who have shipped production AI systems, created \u0026lt;strong\u0026gt;SGLang\u0026lt;/strong\u0026gt;, and developed \u0026lt;strong\u0026gt;Miles\u0026lt;/strong\u0026gt;, our large-scale RL framework.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are building world-class open systems for inference and training, with the mission of democratizing frontier-level AI infrastructure. Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure used by leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We partner with major cloud providers, hardware companies, and frontier AI labs to build the next generation of scalable, reliable, and open AI infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation with meaningful equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4087890009","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":4058548009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4087890009,"updated_at":"2026-05-22T21:07:55-04:00","requisition_id":"3","title":"Member of Technical Staff — TPU Systems (JAX / XLA / PALLAS)","company_name":"RadixArk","first_published":"2025-12-29T19:45:12-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div data-page-id=\u0026quot;R5pEdqmJmoX3WtxIJiNjDTCKpUb\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is looking for a TPU Systems Engineer to build high-performance inference and training systems using JAX, XLA, and Pallas. You\u0026#39;ll push model workloads to their limits on TPU hardware, working on SGLang-JAX and other critical infrastructure that enables efficient deployment of frontier models on Google\u0026#39;s tensor processing units.\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;3+ years experience building production ML systems utilizing JAX/Torch, XLA, or TPU-focused frameworks.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Electrical Engineering, or equivalent industry experience\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep understanding of XLA internals preferred: HLO, MLIR, operator fusion, SPMD partitioning, and sharding strategies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong performance tuning instincts across compiler and runtime layers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with distributed inference systems (e.g. SGLang, vLLM) or training frameworks (e.g. Miles, Alpa, Pathways)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python with demonstrated ability to write high-performance, production-quality code\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience writing custom GPU/TPU/AI Accelerator kernels. Familiarity with Pallas for kernel development is strongly preferred.\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build high-performance inference and training systems using JAX/XLA/Pallas, including SGLang-JAX\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Push large-model workloads to the limits on the newest TPU hardwares\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize end-to-end latency and throughput for LLM serving on TPU infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement SPMD strategies for efficient distributed inference and training\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Design and implement Pallas kernels for operations that require customized low level control for best performance\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Profile and optimize XLA compilation pipelines and HLO graph transformations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with kernel engineers and compiler teams to achieve performance wins across the stack\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to open-source projects with TPU optimization guides, benchmarks, and architectural insights\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-RQIvdIjT3oI96QxEU6rjFGQ4pGf\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div data-page-id=\u0026quot;R5pEdqmJmoX3WtxIJiNjDTCKpUb\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-LId4drC8PoFYvYxaUtRjDBHdpgc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-LId4drC8PoFYvYxaUtRjDBHdpgc\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-LId4drC8PoFYvYxaUtRjDBHdpgc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1vu7ugc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-173q4gz\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;About RadixArk\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1ndb85j\u0026quot; data-framer-name=\u0026quot;About RadixArk\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an infrastructure-first company built by enggineers who\u0026#39;ve shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework).\u0026lt;br\u0026gt;We\u0026#39;re on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training.\u0026lt;br\u0026gt;Our team has optimized kernels serving billions of tokens daily,designed distributed training systems\u0026amp;nbsp;coordinating 10,000+ GPUs, and contributed to infrastucture that powers leading Al companies and research labs.\u0026lt;br\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with \u0026amp;nbsp;NVIDIA, Google,AWS,and frontier Al labs.\u0026lt;br\u0026gt;Join us in building infrastructure that givees real leverage back to the Al community.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1xo2adc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1ouiht\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Compensation\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-3pynz3\u0026quot; data-framer-name=\u0026quot;Compensation\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;We offer competitive compensation for this 1-year residency program, with health benefits and potential for conversion to a full-time role. Compensation is determined by location and prior experience. Strong residents may receive offers to join RadixArk full-time with equity after program completion.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-uwejmz\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1oedabd\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1896wv9\u0026quot; data-framer-name=\u0026quot;Equal Opportunity\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4134907009","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":4088957009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4134907009,"updated_at":"2026-06-15T00:14:09-04:00","requisition_id":"26","title":"Member of Technical Staff — Training","company_name":"RadixArk","first_published":"2026-02-17T06:28:04-05:00","language":"en","application_deadline":null,"content":"\u0026lt;h2 data-start=\u0026quot;322\u0026quot; data-end=\u0026quot;343\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;325\u0026quot; data-end=\u0026quot;343\u0026quot;\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;345\u0026quot; data-end=\u0026quot;471\u0026quot;\u0026gt;RadixArk is seeking a\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;\u0026lt;strong data-start=\u0026quot;367\u0026quot; data-end=\u0026quot;407\u0026quot;\u0026gt;Member of Technical Staff — Training\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;to build and scale the systems that train frontier AI models.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;473\u0026quot; data-end=\u0026quot;734\u0026quot;\u0026gt;You will work on large-scale distributed training infrastructure for LLMs and generative models, pushing the limits of scale, efficiency, accuracy and reliability across 10k, or 100k+ of GPUs. This role sits at the intersection of ML, systems, and performance engineering.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;736\u0026quot; data-end=\u0026quot;820\u0026quot;\u0026gt;Your work will directly impact how next-generation AI models are trained and scaled.\u0026lt;/p\u0026gt;\n\u0026lt;p data-start=\u0026quot;822\u0026quot; data-end=\u0026quot;938\u0026quot;\u0026gt;This is a deeply technical, high-impact role for engineers who enjoy solving hard systems problems at extreme scale.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;945\u0026quot; data-end=\u0026quot;964\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;948\u0026quot; data-end=\u0026quot;964\u0026quot;\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;966\u0026quot; data-end=\u0026quot;1597\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;966\u0026quot; data-end=\u0026quot;1067\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;968\u0026quot; data-end=\u0026quot;1067\u0026quot;\u0026gt;3+ years of experience in ML systems, or large-scale training infrastructure\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;966\u0026quot; data-end=\u0026quot;1067\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;968\u0026quot; data-end=\u0026quot;1067\u0026quot;\u0026gt;Experience building or operating large-scale agentic post-training systems.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience working on training / inference correctness or other precision-related problem\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1310\u0026quot; data-end=\u0026quot;1390\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1312\u0026quot; data-end=\u0026quot;1390\u0026quot;\u0026gt;Experience debugging performance and stability issues in large post-training jobs\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience improving training or inference efficiency.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 data-start=\u0026quot;1604\u0026quot; data-end=\u0026quot;1623\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;1608\u0026quot; data-end=\u0026quot;1623\u0026quot;\u0026gt;Strong Plus\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul data-start=\u0026quot;1625\u0026quot; data-end=\u0026quot;2061\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;1625\u0026quot; data-end=\u0026quot;1679\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1627\u0026quot; data-end=\u0026quot;1679\u0026quot;\u0026gt;Experience training 100+ billion-parameter models\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with train / inference optimization for large-scale RL or other production workload.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1680\u0026quot; data-end=\u0026quot;1756\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1682\u0026quot; data-end=\u0026quot;1756\u0026quot;\u0026gt;Familiarity with training stacks (e.g. Megatron-LM, FSDP, torchtitan, etc.) and inference stack (e.g. SGLang, vLLM, etc.)\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with post-training framework (e.g. Miles, Slime, veRL, Prime-RL, AReaL, etc.)\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1757\u0026quot; data-end=\u0026quot;1822\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1759\u0026quot; data-end=\u0026quot;1822\u0026quot;\u0026gt;Experience with RDMA, InfiniBand, NVLink, NCCL/RCCL, or high-speed GPU interconnects\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1879\u0026quot; data-end=\u0026quot;1931\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1881\u0026quot; data-end=\u0026quot;1931\u0026quot;\u0026gt;Contributions to ML systems open-source projects\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1932\u0026quot; data-end=\u0026quot;2003\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;1934\u0026quot; data-end=\u0026quot;2003\u0026quot;\u0026gt;Experience with checkpointing, fault recovery, and elastic training.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1932\u0026quot; data-end=\u0026quot;2003\u0026quot;\u0026gt;Experience building infrastructure for agentic post-training, such as async rollout pipelines, sandbox, or harness system.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;2068\u0026quot; data-end=\u0026quot;2091\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2071\u0026quot; data-end=\u0026quot;2091\u0026quot;\u0026gt;Responsibilities\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul data-start=\u0026quot;2093\u0026quot; data-end=\u0026quot;2680\u0026quot;\u0026gt;\n\u0026lt;li data-start=\u0026quot;2093\u0026quot; data-end=\u0026quot;2156\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2095\u0026quot; data-end=\u0026quot;2156\u0026quot;\u0026gt;Contribute to open-source large-scale post-training infrastructure Miles, and inference system SGLang.\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2157\u0026quot; data-end=\u0026quot;2218\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2159\u0026quot; data-end=\u0026quot;2218\u0026quot;\u0026gt;Optimize throughput, scalability, and hardware efficiency\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2219\u0026quot; data-end=\u0026quot;2293\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2221\u0026quot; data-end=\u0026quot;2293\u0026quot;\u0026gt;Improve reliability and fault tolerance for long-running training jobs\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2294\u0026quot; data-end=\u0026quot;2352\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2296\u0026quot; data-end=\u0026quot;2352\u0026quot;\u0026gt;Develop training frameworks and infrastructure tooling\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2353\u0026quot; data-end=\u0026quot;2423\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2355\u0026quot; data-end=\u0026quot;2423\u0026quot;\u0026gt;Collaborate with model researchers to support frontier experiments\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2424\u0026quot; data-end=\u0026quot;2481\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2426\u0026quot; data-end=\u0026quot;2481\u0026quot;\u0026gt;Debug and resolve cross-layer performance bottlenecks\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2482\u0026quot; data-end=\u0026quot;2554\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2484\u0026quot; data-end=\u0026quot;2554\u0026quot;\u0026gt;Build observability systems for training performance and reliability\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2555\u0026quot; data-end=\u0026quot;2617\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2557\u0026quot; data-end=\u0026quot;2617\u0026quot;\u0026gt;Drive capacity planning and cluster utilization strategies\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;2618\u0026quot; data-end=\u0026quot;2680\u0026quot;\u0026gt;\n\u0026lt;p data-start=\u0026quot;2620\u0026quot; data-end=\u0026quot;2680\u0026quot;\u0026gt;Contribute to long-term training infrastructure architecture\u0026lt;/p\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;2687\u0026quot; data-end=\u0026quot;2708\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2690\u0026quot; data-end=\u0026quot;2708\u0026quot;\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3265\u0026quot; data-end=\u0026quot;3284\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3268\u0026quot; data-end=\u0026quot;3284\u0026quot;\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3286\u0026quot; data-end=\u0026quot;3456\u0026quot;\u0026gt;We offer competitive compensation with meaningful equity, comprehensive benefits, and flexible work arrangements. Compensation depends on location, experience, and level.\u0026lt;/p\u0026gt;\n\u0026lt;h2 data-start=\u0026quot;3463\u0026quot; data-end=\u0026quot;3487\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;3466\u0026quot; data-end=\u0026quot;3487\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p data-start=\u0026quot;3489\u0026quot; data-end=\u0026quot;3576\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4250681009","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":4146551009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4250681009,"updated_at":"2026-05-22T21:06:40-04:00","requisition_id":"41","title":"Performance Engineer","company_name":"RadixArk","first_published":"2026-05-17T19:35:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is hiring a Performance Engineer in Palo Alto, CA — someone who can push LLM inference and training systems to the limit across real production workloads.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll work on the performance-critical path of SGLang, Miles, and the RadixArk infrastructure stack: latency, throughput, GPU utilization, memory efficiency, scheduling, batching, kernel behavior, distributed execution, and cost-per-token. This is not a generic benchmarking role. You’ll be working on the systems that determine whether frontier-scale AI workloads are actually usable, affordable, and reliable in production.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our customers care about real numbers: P99 latency, TTFT, tokens/sec/GPU, throughput under long-context workloads, cost-per-million tokens, RL rollout efficiency, and training-inference consistency. You’ll help us measure, debug, and improve these systems across NVIDIA, AMD, Google TPU, and cloud partner environments.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is for someone who loves performance debugging, understands that small systems details can create massive product impact, and wants to work at the frontier of AI infrastructure.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Analyze and improve performance across SGLang, Miles, and RadixArk production deployments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Benchmark LLM inference and training workloads across GPUs, TPUs, and cloud environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Optimize latency, throughput, memory usage, batching, scheduling, routing, and GPU utilization\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Investigate performance regressions in real customer environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with kernel, runtime, distributed systems, and product engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build internal tooling for profiling, tracing, benchmarking, and regression detection\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate customer workload characteristics into concrete performance tuning strategies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help define performance metrics that matter commercially, including cost-per-token and serving efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with customers and cloud partners on deep technical evaluations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute performance insights back to open-source SGLang and Miles\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What We\u0026#39;re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Strong systems engineering background, especially in performance-critical software\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with GPU systems, distributed systems, inference serving, ML runtimes, or high-performance computing\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with profiling tools, performance debugging, tracing, and benchmark methodology\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort working with Python and C++\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with CUDA, Triton, Pallas, ROCm, XLA, or kernel-level optimization is a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Understanding of LLM inference concepts such as batching, KV cache, prefill/decode, speculative decoding, MoE, long context, and P99 latency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to debug messy real-world performance issues across software, hardware, and infrastructure layers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong communication skills — you should be able to explain performance tradeoffs to both engineers and customers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Prior experience with production AI infrastructure, cloud GPU environments, or open-source ML systems is a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang, and developed Miles, our large-scale RL framework.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation with meaningful equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4113074009","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":4077046009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4113074009,"updated_at":"2026-05-22T21:04:48-04:00","requisition_id":"7","title":"Product Manager","company_name":"RadixArk","first_published":"2026-01-27T20:44:15-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div data-page-id=\u0026quot;PYfudavejoRjXIx4njkjMCnPp7g\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div data-page-id=\u0026quot;PYfudavejoRjXIx4njkjMCnPp7g\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\u0026lt;br\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-H4bpd5pEyouh3SxvnYvj3R2upif\u0026quot;\u0026gt;Key Responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-TjAidCH8Noam5Ix0RGAjjPH3ptd\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Product Strategy \u0026amp;amp; Roadmap\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-EzEqdmtoSoORuWx6u1jjfElYpUb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Define, prioritize, and drive the product roadmap for inference and training infrastructure.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-XlRjd6x3togi28xATv0jlgMvpUc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Stay ahead of AI trends, including new model architectures, hardware optimizations, and open-source developments.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Fhd9d3dj3ot2AExsgtLjuT4fpAc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Balance qualitative insights (partner feedback, community discussions) with quantitative metrics (benchmarks, system performance) to inform roadmap decisions.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-HdGPdY6DrogMnmxlQnVjMpugpMb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Collaborate closely with research and engineering teams, participating in design reviews and technical discussions to evaluate trade-offs.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Eze2dQRTMoZEKuxAUKUjcEpvp7f\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Translate complex technical capabilities into clear user stories, product requirements, and actionable deliverables.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-LspDdPj2gopsWdxkl1Wj0tJepnf\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Act as a trusted partner to engineering teams, removing blockers by clarifying requirements and managing scope.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-Te5xdA8DjoOINixq1uZjsNSipCg\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;User Engagement \u0026amp;amp; Growth\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Jqd5dAEuCoeGD4xxEa7jDbWbpag\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Serve as the main point of contact for early adopters and partners, gathering feedback to guide product iterations.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-JjOmdoja1oXV7LxaOWdjpkf4pfd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Support Go-to-Market initiatives, including creating technical content (blogs, documentation, social assets) and engaging with developer communities.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-NGsddZbRooR648x0lsAj8HHGp3Q\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Use data and user research to validate hypotheses and measure the impact of product launches.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-Dg2IdmxoKoWovgxfAKTj8as9psd\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-LKuGdcOXJotvvYxptPqjdpUrpWg\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Minimum Requirements\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-P6bodALYPoseGIxjEp2jQMtGpKH\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Engineering, or a related technical field.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-EUOCdRQdgoqHZIx3Q4HjTzO4p3f\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;3+ years of experience in Product Management or a related technical role (Engineering, Solutions Architecture) in a software company.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-WejUdboa7orKzlx5P14jRYqGpdh\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Strong technical fluency in AI/ML infrastructure; comfortable discussing system architecture and reading technical documentation.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-On41dJpg9oueaIxm0gkjmeqFpYg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Excellent communication skills, able to clearly explain complex technical concepts to technical and non-technical stakeholders.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-GGFsd0uDdom9Wwx4Bsxj5gYXpxf\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Preferred (Bonus) Qualifications\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-OG2Gdj8uNoSwjVxKuMKj6XImp2d\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Hands-on coding skills (Python, C++ etc); experience contributing to open-source communities.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-I376daD2EoNAH5xkROgjyCrQpef\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience creating content for developer audiences (blogs, social media) or organizing tech events/hackathons.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-DiCude70GoXBvSxf1TQjcDFopFg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Data-driven mindset with experience using analytics to drive product decisions.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Xf6hdNATboTh1dx9qmojkYNipEP\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience conducting user research and interviews to uncover user pain points.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-ErlbdReEhohaoMxvJ9NjeS6Xplc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;B2B or developer-facing product experience.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-KQnjdsbW7oUWhjxYg2pjySMkpPg\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-Td2xd0LffooSevx9wJzjTdwHpGe\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Benefits\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-O8uodEKW7oDyeWxVSSyjRZmEphe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Competitive salary and equity package.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-KjnxdbPB4o4OtGxRd1Xjd2aTp2e\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Work with a world-class team from xAI, Google, and leading research labs.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-AdJtd8naioniFjxZ0RPjxEffpkb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Directly impact the future of open AI infrastructure.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 data-start=\u0026quot;2687\u0026quot; data-end=\u0026quot;2708\u0026quot;\u0026gt;\u0026lt;strong data-start=\u0026quot;2690\u0026quot; data-end=\u0026quot;2708\u0026quot;\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive compensation with equity,comprehensive health benefits,and flexible work arrangements. Compensation is determined by location,level,and experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone\u0026amp;nbsp;regardless of race,color,ancestry,religion,sex,nationalorigin,sexual orientation,age,citizenship,marital status, disability,gender identity,veteran status,and more.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4285631009","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":4168105009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4285631009,"updated_at":"2026-06-12T20:33:35-04:00","requisition_id":"44","title":"Product Marketing Manager","company_name":"RadixArk","first_published":"2026-06-12T20:33:35-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div data-page-id=\u0026quot;FMO1diM7WoKBTRxaxaNj388PpNg\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;h2 class=\u0026quot;heading-2 ace-line old-record-id-EXSvdUqISoq2K1xKQj0j1R5hpde\u0026quot;\u0026gt;About the Role\u0026lt;/h2\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-Phi7dQM1ooZZoSxzj9RjOJu0pQb\u0026quot;\u0026gt;RadixArk is seeking a Product Marketing Manager to own how SGLang, Miles, and our open source infrastructure are positioned and perceived across the market. SGLang already has 20K+ GitHub stars and serves billions of tokens daily across leading AI companies and research labs, and we\u0026#39;re looking for someone to be the bridge between our engineering team and the people who decide to adopt, partner with, and write about us.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-OhwldW8RHoAym5x1Ui4jVrcNpRc\u0026quot;\u0026gt;You\u0026#39;ll define our product messaging, drive our launch calendar, and translate deeply technical systems into value that developers, partners, and buyers understand. You\u0026#39;ll also bring that messaging to life in person by running our field events, and you\u0026#39;ll be the steady hand who shapes our external response when something needs a clear public voice. This role combines product marketing depth with hands-on execution, and you\u0026#39;ll have real influence over how our products are positioned and adopted across the AI infrastructure community.\u0026lt;/div\u0026gt;\n\u0026lt;h2 class=\u0026quot;heading-2 ace-line old-record-id-BMCNdS9rLoZbCxxFMcGjgTInpJf\u0026quot;\u0026gt;Key Responsibilities\u0026lt;/h2\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-VasidnEZHoEiWzxD21IjWNnQpNc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Product Positioning \u0026amp;amp; Messaging:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;Own product positioning and messaging for SGLang, Miles, and the broader platform. Build and maintain buyer personas and ideal customer profiles to guide segmentation and storytelling. Translate complex technical capabilities such as inference optimization and RL post-training into clear, differentiated value for distinct audiences. Partner with engineering and product to turn new releases and features into market-ready narrative as soon as they ship.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-GtDUducUdorx3vxljvHjLZAtpHc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Go-to-Market \u0026amp;amp; Launches:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;Own the go-to-market strategy and launch calendar for new products and major updates, coordinating the cross-functional work needed to land them. Produce sales and partner enablement assets including pitch decks, battlecards, case studies, and benchmark narratives. Ensure consistent messaging across every touchpoint, from website and social to partner co-marketing and events.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-CVvGdArnjo0dsUxF8P7jjvC5p0b\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Field Events \u0026amp;amp; Activations:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;Plan and execute RadixArk\u0026#39;s field programs end to end, including developer meetups, partner activations, and industry conference presence. Own agenda, speakers, vendors, on-site execution, and post-event follow-up, not just the brief. Because the messaging originates with you, you keep the content and the experience aligned, and you tie each program back to community growth, adoption, and pipeline.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-TL8edfplVoDdPMxGX3vjkBdCpFh\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;External Communications \u0026amp;amp; Issue Response:\u0026lt;/strong\u0026gt;\u0026lt;span class=\u0026quot;Apple-converted-space\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/span\u0026gt;Shape RadixArk\u0026#39;s external voice across announcements, statements, and executive-facing narrative. Build relationships with media, analysts, and technical influencers. When sensitive situations arise, such as a partner omitting our contribution from their messaging, a contested benchmark, or a community controversy, assess quickly whether and how to respond, set the right framing and channel, and write the response yourself.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h2 class=\u0026quot;heading-2 ace-line old-record-id-TcpAdJoP0oPI6wxAPz4jmYWbp2g\u0026quot;\u0026gt;Qualifications\u0026lt;/h2\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-Qez2dP8iyo32FUxW1TJjBk4ZpXc\u0026quot;\u0026gt;Minimum Requirements\u0026lt;/h3\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-VSKXddyYHoRxRzxvOrTjvYIlpyd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;5+ years of product marketing experience, ideally in AI infrastructure, developer tools, cloud, or open source.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-YwGxdzAX9ozXYoxVaQLjGQ2ypgg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;A proven track record translating complex technical products into business-oriented messaging for developers, partners, and buyers.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-U9PUdDDhIoQXQGxbzYEjiNydpMd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Demonstrated ownership of product launches and go-to-market plans with measurable awareness, adoption, or pipeline impact.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-PQ0Gdvz8boliLVxStiSjznszpah\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Hands-on field event experience, with the ability to run a meetup, summit, or conference presence yourself rather than only directing an agency.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-SRngdjHkOo1QH6xEsn1jk7J0pDg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Outstanding writing and editorial judgment across positioning, long-form content, and short-form public statements.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-DwwkdqinuoKCLxxoDFTj4Ozipaf\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Sound judgment and composure in sensitive external situations, with the ability to draft clear public-facing responses under time pressure.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-WHJZdFLFjoFN6LxCCWnji6EkpXc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Self-starter who can identify opportunities and drive initiatives independently with minimal oversight.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-PGbZdup9sofFOoxG2UIjPtCsp4g\u0026quot;\u0026gt;Preferred (Bonus) Qualifications\u0026lt;/h3\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-C2jDd0N21ohbajxTgQOjaiKdped\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Solid understanding of AI/ML infrastructure, including LLM serving, distributed training, and GPU optimization.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-ByUSdiU8mowb0IxipT7jZoaep6o\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience working with or marketing a popular open source AI/ML project.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-TnfqdJetKoX6GpxqEIDjOMPWpGe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Existing relationships with media, analysts, or technical influencers in the AI infrastructure space.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-CqoXdbRNdocLruxcGLFj4KdfpO7\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience building or scaling a product marketing function, with the appetite to grow into a team lead.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Hmshdj4PToEInIxbubDjryw3ppg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Bilingual in Chinese and English, comfortable aligning internally in Chinese and producing external content in English.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-XnZndVYT7oJbIixYs9tjBQkQpLd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Active presence in developer or AI communities such as GitHub, Twitter/X, Discord, or Reddit.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4038850009,"name":"Sales","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4242558009","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":4141358009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4242558009,"updated_at":"2026-05-22T21:06:19-04:00","requisition_id":"40","title":"Software Engineer, Product","company_name":"RadixArk","first_published":"2026-05-07T01:34:59-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div data-page-id=\u0026quot;UcaUdSLZhoKzPMxYEYXjgxFBpId\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-WRqIdxdJOo34IMxeklfjIZE2peb\u0026quot;\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-OjfRdBDvzoidnZxjUUvjgBDbpTg\u0026quot;\u0026gt;RadixArk is seeking experienced product-focused engineers to join our team in building the developer-facing surfaces of our inference and training infrastructure. As a Software Engineer, Product, you will partner closely with our Product Managers, research scientists, and systems engineers to turn cutting-edge AI infrastructure into delightful, performant, and reliable products that developers and enterprises love to use.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-UUIYdbvBto1eJIxLwFFj79OLpGT\u0026quot;\u0026gt;You will own end-to-end product experiences across APIs, SDKs, dashboards, playgrounds, and developer tooling that sit on top of SGLang, Miles, and our broader inference and training stack. You\u0026#39;ll work at the intersection of frontier systems and great product craft, shaping how developers discover, evaluate, and integrate RadixArk\u0026#39;s capabilities into their own AI workloads. If you are excited about translating cutting-edge infrastructure into products that meaningfully shape how the AI community builds, this role is for you.\u0026lt;/div\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-PDO5dq3pYoytEJxgutrjlpwIpEd\u0026quot;\u0026gt;Key Responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-OEPMdAsVmo5QdGxsTfojHpxDpng\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Product Engineering \u0026amp;amp; Execution\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-ZtChd5XtForgA9xKIw1jXuEcp1c\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Collaborate with cross-functional teams (Product, Design, Research, Infrastructure, Developer Relations) to design and ship developer-facing products on top of RadixArk\u0026#39;s inference and training platforms.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-MGzKdzqmAohf0Wxse7vjQ1cRpC2\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Build and maintain customer-facing APIs, SDKs, CLIs, dashboards, and playgrounds that expose the power of SGLang, Miles, and our serving infrastructure in intuitive, well-documented interfaces.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-MAwGdgsWaoGSCZxyiXfjLp2Tpfe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Implement custom user interfaces and developer experiences using modern frontend and backend technologies, with a high bar for performance, accessibility, and craft.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-FXYpdd32coaSW6xcPQbjSnmnpEe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Architect efficient and scalable systems that bridge low-level infrastructure (GPU scheduling, model serving, distributed training) with high-level product surfaces.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Bd3tdlRS9oEAaIxCDIsjy0J6pif\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Analyze and optimize code for quality, efficiency, and performance, and provide thoughtful feedback to peers during code reviews.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-DE7GddMTIoFm7WxuKIpjCcDSpBf\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Technical Leadership \u0026amp;amp; Ownership\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Fp7EdoRylop9DcxGHbEjVdkapbf\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Establish end-to-end ownership of components, features, or systems, from initial design through rollout, monitoring, and iteration.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-TIhBdcBN5oXSCPxxprmjwkxVpqg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Set direction and goals for product engineering initiatives, lead major launches, and provide technical guidance and mentorship to peers and new team members.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-GIuFd5iTnoKi9nxmiFsjSGDepeg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Identify and resolve performance, reliability, and scalability issues across the product stack, and drive efforts to reduce technical debt.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-P3ChdAOkKovfv3xHxc5jCwN6pah\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Participate in design reviews and technical discussions, evaluating trade-offs between system complexity, developer experience, and time-to-ship.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-CtKCdBhhOo1T6BxhR6pjSNThpwI\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Partnership with Product \u0026amp;amp; Users\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-I8BbdnrtxoAymIxwnMgjAwLspTc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Work hand-in-hand with Product Managers to translate roadmap priorities into well-scoped technical deliverables, surfacing trade-offs and unblocking ambiguity early.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Rqp0dlKpPo6u7yx22Zij54VEpNb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Engage directly with early adopters, design partners, and the open-source community to understand pain points and rapidly iterate on product experiences.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Zur4dw1DWooz8Jx3yUNj3ubIpTg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Contribute to technical content (documentation, code samples, blog posts, demos) that helps developers get the most out of RadixArk\u0026#39;s products.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-IRfPdOSvUoqyPGxDhfdjJrpLp2c\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Use data, telemetry, and user feedback to validate hypotheses, measure the impact of launches, and inform what to build next.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-O0bAdxfXwo04q0xJ2HWjQVGvpfe\u0026quot;\u0026gt;Qualifications\u0026lt;/h3\u0026gt;\n\u0026lt;h4 class=\u0026quot;heading-4 ace-line old-record-id-NTo4dCae5oqYDhxyFnKjJnUsp5f\u0026quot;\u0026gt;Minimum Requirements\u0026lt;/h4\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-CxQNdCtlooUSVTxkXHjjjSKapmg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Bachelor\u0026#39;s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-GzIhdcbroortdsxtjjxjpu2RpZb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;5+ years of software engineering experience building production systems, OR 3+ years with a PhD in a relevant field.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-ZyHidyhinoVenPxAC54jvWTDpfg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Strong programming skills in at least one of: Python, TypeScript/JavaScript, Go, C++, or Rust.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-ZOqPdTxPtof4r3xTPEWjI6F8pt2\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Demonstrated experience shipping developer-facing or product-facing software end-to-end, including APIs, SDKs, web applications, or developer tools.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-VhqmdhkMCo86wFxeVtpjIbNGpLc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience using data and analysis to explain technical problems, prioritize work, and inform design decisions.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-S745dL6MYoeWoDx8ErRjhzbDpEd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Excellent collaboration and communication skills, with a track record of driving complex technical projects across teams.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4 class=\u0026quot;heading-4 ace-line old-record-id-K50pdo4V1o8vFsxgEvqj6DulpHc\u0026quot;\u0026gt;Preferred Qualifications\u0026lt;/h4\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-PRRrdYbIVoOSZaxsSVBjfEU5pHd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience building products on top of AI/ML infrastructure, model serving systems, or large-scale distributed systems.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-X9XQd0AFZogyAsxyo78jgpB5plh\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Familiarity with LLM inference and training stacks (e.g., SGLang, vLLM, TensorRT-LLM, PyTorch, Megatron, DeepSpeed, Ray) and the trade-offs involved in serving and training large models.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-PEcAd8oruoI7BzxIsvFjXGE5poe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience contributing to or maintaining open-source projects, especially in the AI/ML or infrastructure ecosystem.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-RaxNdDQWaoJWjgxNqBCjFMaMpad\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Hands-on experience designing developer experiences such as public APIs, SDKs, CLIs, or dashboards, where developer ergonomics directly drive adoption.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-CAEXdMNEroh1R6xNVIVjmc82pXe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Strong product sensibility, comfortable making thoughtful UX and API design decisions rather than just executing specs.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-H18XdQuqPoYF3WxNzVJjrg2Op1b\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience improving quality through code reviews, testing, careful rollout, monitoring, and proactive iteration.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-KMDNdKgDXo13CzxdrhVjO7kGp6e\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Demonstrated ability to integrate AI tools into engineering workflows to drive measurable impact (efficiency gains, quality improvements).\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-JPg5dfbryooYRFxo1wEjgqedpff\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience working in B2B, developer-facing, or infrastructure product environments.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1vu7ugc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-173q4gz\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;About RadixArk\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1ndb85j\u0026quot; data-framer-name=\u0026quot;About RadixArk\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an infrastructure-first company built by enggineers who\u0026#39;ve shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework).\u0026lt;br\u0026gt;We\u0026#39;re on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training.\u0026lt;br\u0026gt;Our team has optimized kernels serving billions of tokens daily,designed distributed training systems\u0026amp;nbsp;coordinating 10,000+ GPUs, and contributed to infrastucture that powers leading Al companies and research labs.\u0026lt;br\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with \u0026amp;nbsp;NVIDIA, Google,AWS,and frontier Al labs.\u0026lt;br\u0026gt;Join us in building infrastructure that givees real leverage back to the Al community.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1xo2adc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1ouiht\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Compensation\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-3pynz3\u0026quot; data-framer-name=\u0026quot;Compensation\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;We offer competitive compensation for this 1-year residency program, with health benefits and potential for conversion to a full-time role. Compensation is determined by location and prior experience. Strong residents may receive offers to join RadixArk full-time with equity after program completion.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-uwejmz\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1oedabd\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1896wv9\u0026quot; data-framer-name=\u0026quot;Equal Opportunity\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4226120009","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":4132366009,"location":{"name":"Singapore"},"metadata":null,"id":4226120009,"updated_at":"2026-05-22T21:05:55-04:00","requisition_id":"33","title":"Solutions Account Executive, APAC","company_name":"RadixArk","first_published":"2026-04-20T00:08:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is hiring a Solutions Account Executive in Singapore — a hybrid seller-engineer who can run a full sales cycle and lead the technical evaluation that decides it. You’ll sell SGLang, Miles, and the RadixArk infrastructure stack to AI labs, enterprises, and AI-native startups across APAC.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In most deals, our buyers don’t sign because of a deck. They sign because someone sat down with their infrastructure team, benchmarked our inference engine against their workload, explained the trade-offs honestly, and showed them what their P99 latency and cost-per-token look like on RadixArk. That person is you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You’ll own the commercial relationship end-to-end — prospecting, discovery, negotiation, and close — while also acting as the technical lead on POCs, architecture reviews, and benchmarks. You’ll partner tightly with our engineering team, but on most APAC deals you’ll be the one translating what SGLang and Miles actually do into something a CTO can defend to their board.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This is not a role for pure relationship sellers or pure solutions engineers. It’s for the rare operator who can do both.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You’ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own a quota against strategic accounts across APAC — AI labs, enterprises deploying AI, and AI-native startups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run full sales cycles end-to-end: outbound, discovery, technical evaluation, commercial negotiation, close\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Lead technical deep dives, architecture reviews, and POCs — benchmarking RadixArk against customer workloads on their infrastructure\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Translate customer requirements into concrete evaluation criteria, and translate RadixArk capabilities into language technical buyers actually care about\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering on custom benchmarks, performance tuning, and edge-case technical escalations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Co-sell with Google Cloud, AWS, and regional GPU/cloud partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent RadixArk at APAC AI conferences, developer events, and SGLang community meetups — including delivering technical talks and demos\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Feed structured, technically precise market intelligence back to product and engineering — which features, benchmarks, and workloads will win the region\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Requirements\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;5+ years combined experience across enterprise sales and solutions/sales engineering at AI infrastructure, cloud, GPU, developer tools, or deep-tech companies\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proven track record closing 6- and 7-figure technical deals where you personally led the evaluation or POC\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep technical fluency: you can confidently discuss LLM serving architectures, inference optimization (batching, KV cache, speculative decoding, quantization), distributed training, RL pipelines, and GPU/TPU economics\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable reading code, running benchmarks, and writing configuration for customer POCs — you don’t need to contribute to SGLang, but you need to use it credibly\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Full-cycle seller: prospecting, discovery, technical qualification, commercial negotiation, and close\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Existing network across APAC AI labs, enterprises, or cloud/GPU ecosystems\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort operating in high-ambiguity environments with limited playbooks\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fluent English; additional regional languages (Mandarin, Japanese, Korean, Bahasa, Hindi) are a strong plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willing to travel across APAC\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Eligibility to work in Singapore\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base + variable compensation with meaningful equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4038850009,"name":"Sales","child_ids":[],"parent_id":null}],"offices":[{"id":4039148009,"name":"Singapore · Hybrid","location":"Singapore","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4233969009","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":4136684009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4233969009,"updated_at":"2026-05-22T21:05:34-04:00","requisition_id":"35","title":"Solutions Architect","company_name":"RadixArk","first_published":"2026-04-27T22:04:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About the Role\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is hiring a Solutions Account Executive in Palo Alto, CA — someone who can run a sales cycle and hold their own in a technical conversation. You\u0026#39;ll sell SGLang, Miles, and the RadixArk infrastructure stack to AI labs, enterprises, and AI-native startups.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our buyers don\u0026#39;t sign because of a deck. They sign because someone sat down with their infrastructure team, understood their workload, and showed them what their P99 latency and cost-per-token look like on RadixArk. You\u0026#39;ll be building toward being that person — with the support of our engineering team behind you.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You\u0026#39;ll own commercial relationships end-to-end — prospecting, discovery, negotiation, and close — while developing the technical depth to contribute meaningfully to POCs, architecture reviews, and benchmarks. You\u0026#39;ll partner closely with engineering and solutions specialists, and grow into translating what SGLang and Miles actually do into something a CTO can defend to their board.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is for someone who is commercially sharp, technically curious, and eager to grow into the rare operator who can do both.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What You\u0026#39;ll Do\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Own a pipeline of accounts — AI labs, enterprises deploying AI, and AI-native startups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Run full sales cycles end-to-end: outbound, discovery, technical evaluation, commercial negotiation, close\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in and eventually lead technical deep dives, POCs, and architecture reviews — with engineering support where needed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Learn to translate customer requirements into concrete evaluation criteria, and RadixArk capabilities into language technical buyers care about\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with engineering on benchmarks, performance tuning, and technical escalations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Co-sell with Google Cloud, AWS, and regional GPU/cloud partners\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Represent RadixArk at AI conferences, developer events, and SGLang community meetups\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Feed market intelligence back to product and engineering — what you\u0026#39;re hearing in the field shapes our roadmap\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;What We\u0026#39;re Looking For\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;2+ years of experience in enterprise or technical sales, solutions engineering, or a customer-facing technical role — backgrounds in AI infrastructure, cloud, developer tools, or deep-tech are a plus but not required\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Demonstrated ability to run or contribute to a full sales cycle, including technical evaluations or POCs (formal experience helpful, but strong aptitude and trajectory matter)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Technical curiosity and baseline fluency — you don\u0026#39;t need to be an ML engineer, but you should be comfortable discussing concepts like LLM inference, GPU infrastructure, and distributed systems, and willing to go deeper\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfort engaging with engineering teams and asking good questions in technical conversations\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ambition to grow into a hybrid seller-engineer role over time\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Existing relationships across AI, cloud, or enterprise ecosystems are a plus\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;About RadixArk\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an infrastructure-first company built by engineers who\u0026#39;ve shipped production AI systems, created SGLang (20K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework).\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading AI companies and research labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with Nvidia, Google, AWS, and frontier AI labs.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join us in building infrastructure that gives real leverage back to the AI community.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Compensation\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;We offer competitive base + variable compensation with meaningful equity, comprehensive health benefits, and flexible work arrangements. Compensation is determined by location, level, and experience.\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;strong\u0026gt;Equal Opportunity\u0026lt;/strong\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;p\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;","departments":[{"id":4038850009,"name":"Sales","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]},{"absolute_url":"https://job-boards.greenhouse.io/radixark/jobs/4236243009","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":4138078009,"location":{"name":"Palo Alto, CA"},"metadata":null,"id":4236243009,"updated_at":"2026-05-22T21:05:13-04:00","requisition_id":"36","title":"Technical Program Manager","company_name":"RadixArk","first_published":"2026-04-29T22:00:08-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div data-page-id=\u0026quot;X3SxdPrWNohrkPxaMzwjvqYopUe\u0026quot; data-lark-html-role=\u0026quot;root\u0026quot; data-docx-has-block-data=\u0026quot;false\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-R6RTdvC28o2EVoxHXRRjBzz9pdb\u0026quot;\u0026gt;About the Role\u0026lt;/h3\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-QbRkdsoFhorPqFxhMmvjX3p9p3d\u0026quot;\u0026gt;As a Technical Program Manager at RadixArk, you\u0026#39;ll drive the execution of complex, cross-functional programs across our inference and training infrastructure. You\u0026#39;ll partner closely with Product Management, Research, and Engineering to turn ambitious technical roadmaps into shipped reality, coordinating across kernel teams, distributed systems engineers, and external partners to deliver infrastructure that serves billions of tokens daily and coordinates 10,000+ GPU training runs.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;ace-line ace-line old-record-id-NZJbdfd1Rok4X9xDvIGjS7mzpnh\u0026quot;\u0026gt;This role is for someone who thrives at the intersection of deep technical understanding and rigorous program execution. You\u0026#39;ll own the \u0026quot;how\u0026quot; and \u0026quot;when\u0026quot; of our most critical initiatives.\u0026lt;/div\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-RWRadq4RUoUJTZxXkzCj1ELwphb\u0026quot;\u0026gt;Key Responsibilities\u0026lt;/h3\u0026gt;\n\u0026lt;h4 class=\u0026quot;heading-4 ace-line old-record-id-L2NkdrbOaoTMs8xWjoDjKcLbpYP\u0026quot;\u0026gt;Program Execution \u0026amp;amp; Delivery\u0026lt;/h4\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-DNL0dkJCooruuYxixnujwclApBg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Drive end-to-end execution of large-scale, cross-functional programs spanning inference engines (e.g., SGLang), training frameworks (e.g., Miles), and hardware integration efforts.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-LgUNdshuEoyLOCx90wsjvqcypKc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Define program structure, including milestones, dependencies, critical paths, risks, and success criteria. Maintain a clear source of truth for status across all stakeholders.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-FSPUdOhnyojvpcxAvK1jVmSRpCg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Run design reviews, sprint planning, release readiness reviews, and post-mortems. Ensure decisions are documented and follow-ups are closed out.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-TkbddicUpoK4N4xoy4vj2GvNp3e\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Identify and unblock cross-team dependencies across kernel, runtime, scheduler, networking, and model teams before they become release blockers.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-BXjgd8KFpoeV5BxhHrljxvnCpvc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Drive release management for major versions, including changelog ownership, compatibility validation, partner rollout sequencing, and rollback planning.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4 class=\u0026quot;heading-4 ace-line old-record-id-Xi1wdhDk6ouWqFxuEDNjCh6fpLd\u0026quot;\u0026gt;Technical Coordination\u0026lt;/h4\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-LFDAdhQSjomKC8xWL1NjZrP0pac\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Partner with Product Management to translate roadmap priorities into executable program plans, with clear scope, staffing, and timelines.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-NbE8dk4RWodRrWxW8Arjkb8wp3c\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Work shoulder-to-shoulder with engineering leads on technical trade-off decisions; understand the architecture deeply enough to ask the right questions and surface hidden risks.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-BueCdCMfJoZRS0xsMCHj7W4NpRg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Coordinate hardware enablement programs with partners like Nvidia, Google, and AWS, including new accelerator bring-up, kernel co-development, and benchmark validation.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-EqoAda7Mio3urixoDBmjSzd9pgb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Manage integration programs with frontier AI labs and early adopters, ensuring technical requirements, SLAs, and feedback loops are well-defined.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4 class=\u0026quot;heading-4 ace-line old-record-id-Yv2Udbb3doA8HnxVgnGjdnK1p0d\u0026quot;\u0026gt;Operational Excellence\u0026lt;/h4\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Y6aEdufcpoXuoIxuRK1jb6ULpdb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Build and improve the engineering operating cadence, including standups, planning rituals, OKR tracking, dashboards, and reporting to leadership.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-MT6ad2S4HoMtNdxGOoTjQjpXpcg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Establish metrics and instrumentation for program health such as velocity, defect rates, benchmark regressions, and customer-reported issues, and drive accountability against them.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-ZGzjd9dfuo4TkdxwUsIjdQ7Apng\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Lead incident response coordination for production issues affecting partners; own root-cause review and corrective-action tracking.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-LG6odfS2ForDeVx04LmjEvHbpUe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Improve developer productivity by identifying and removing systemic friction in our build, test, and release pipelines.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4 class=\u0026quot;heading-4 ace-line old-record-id-XQwAdiLqao21VxxQD9KjegGeprh\u0026quot;\u0026gt;Stakeholder Communication\u0026lt;/h4\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-J4s2dwZHGoxAhrxmPQUjDYmQpoc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Serve as the connective tissue between engineering, product, GTM, and external partners, ensuring everyone has the right information at the right altitude.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-S49ZdMe3Lo2Yn8xicpTjFwMMpob\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Produce clear, concise written updates for leadership and partners. Translate engineering progress into business-relevant signals.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Fa1BdtwYsoq1NOxHKiyj5Q0Ypug\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Represent program status honestly, including risks and slips, with concrete mitigation plans.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3 class=\u0026quot;heading-3 ace-line old-record-id-IZX7dheIXoHGO7xUrRQjeoXNpeb\u0026quot;\u0026gt;Qualifications\u0026lt;/h3\u0026gt;\n\u0026lt;h4 class=\u0026quot;heading-4 ace-line old-record-id-GLi8dvo0YorQA2xLam8jjAUspVM\u0026quot;\u0026gt;Minimum Requirements\u0026lt;/h4\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-HLWMdBZdAohkkAxSToljNaMJpdd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Engineering, or a related technical field.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-QQr8d0beFo75Bax9Nbvj0eUfpSd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;4+ years of direct experience in Technical Program Management, Engineering Management, or a senior engineering role with significant program ownership, in a software or infrastructure company.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-YL97djrHSoB9XqxK0MgjKjPwpPe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Strong technical fluency in systems software, distributed systems, or AI/ML infrastructure; able to read code, follow architecture discussions, and challenge technical assumptions productively.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-S4XFdIbTVofBayxFA7XjmLx3pwe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Demonstrated track record shipping complex, multi-team programs on time, including managing dependencies, risks, and scope changes.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-WywndDtelobfIVxr2yDjFuCRpwg\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Excellent written and verbal communication skills; able to drive alignment across engineers, executives, and external partners.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h4 class=\u0026quot;heading-4 ace-line old-record-id-B97addbg6oebwVxHLsjjqBIVpKd\u0026quot;\u0026gt;Preferred (Bonus) Qualifications\u0026lt;/h4\u0026gt;\n\u0026lt;ul class=\u0026quot;list-bullet1\u0026quot;\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-SZlCdkXdnohSFEx3HoIjMBB4pvc\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Direct experience shipping AI/ML infrastructure such as inference engines, training frameworks, GPU kernels, distributed schedulers, or model serving platforms.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-UvUKdejfvogavKxI1RyjVbdIpBe\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Hands-on coding background (Python, C++, CUDA) and comfort working in engineering codebases, including reading PRs, running benchmarks, and reproducing issues.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-Fy4adCyifonSBVxi1vZjLnZepWb\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience coordinating with hardware vendors (Nvidia, AMD, Google TPU, AWS Trainium/Inferentia) on enablement or co-engineering programs.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-YfAddJ0NzoRjfVxHZqSjDNmIppd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience driving open-source release programs or working in OSS communities, including issue triage, RFC processes, and contributor coordination.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-GPKbdBbEEo7GlcxmS8EjY7krpKd\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Familiarity with release engineering, CI/CD systems, and observability tooling for large-scale distributed systems.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;li class=\u0026quot;ace-line ace-line old-record-id-JI12dSdJAoc6e5x541JjUH8ople\u0026quot; data-list=\u0026quot;bullet\u0026quot;\u0026gt;\n\u0026lt;div\u0026gt;Experience supporting B2B or developer-facing products with enterprise SLAs.\u0026lt;/div\u0026gt;\n\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1vu7ugc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-173q4gz\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;About RadixArk\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1ndb85j\u0026quot; data-framer-name=\u0026quot;About RadixArk\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an infrastructure-first company built by enggineers who\u0026#39;ve shipped production Al systems,created SGLang (20K+ GitHub stars,the fastest open LLM serving engine),and developed Miles(our large-scale RL framework).\u0026lt;br\u0026gt;We\u0026#39;re on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training.\u0026lt;br\u0026gt;Our team has optimized kernels serving billions of tokens daily,designed distributed training systems\u0026amp;nbsp;coordinating 10,000+ GPUs, and contributed to infrastucture that powers leading Al companies and research labs.\u0026lt;br\u0026gt;We\u0026#39;re backed by well-known infrastructure investors and partner with \u0026amp;nbsp;NVIDIA, Google,AWS,and frontier Al labs.\u0026lt;br\u0026gt;Join us in building infrastructure that givees real leverage back to the Al community.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1xo2adc\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1ouiht\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Compensation\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-3pynz3\u0026quot; data-framer-name=\u0026quot;Compensation\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;We offer competitive compensation for this 1-year residency program, with health benefits and potential for conversion to a full-time role. Compensation is determined by location and prior experience. Strong residents may receive offers to join RadixArk full-time with equity after program completion.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-uwejmz\u0026quot;\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1oedabd\u0026quot; data-framer-name=\u0026quot;Job title\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;h3 class=\u0026quot;framer-text framer-styles-preset-gjn94e\u0026quot; data-styles-preset=\u0026quot;KbAUpl97U\u0026quot;\u0026gt;Equal Opportunity\u0026lt;/h3\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;framer-1896wv9\u0026quot; data-framer-name=\u0026quot;Equal Opportunity\u0026quot; data-framer-component-type=\u0026quot;RichTextContainer\u0026quot;\u0026gt;\n\u0026lt;p class=\u0026quot;framer-text framer-styles-preset-1g5o4kb\u0026quot;\u0026gt;RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;","departments":[{"id":4023176009,"name":"Engineering","child_ids":[],"parent_id":null}],"offices":[{"id":4023561009,"name":"Palo Alto Office","location":"Palo Alto, California, United States","child_ids":[],"parent_id":null}]}],"meta":{"total":21}}