{"jobs":[{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4668120007","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":4393508007,"location":{"name":"Santa Clara, California, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":4668120007,"updated_at":"2026-06-02T16:59:33-04:00","requisition_id":"20230607","title":"Acceleration Kernel Developer Intern","company_name":"Tenstorrent University Jobs","first_published":"2025-03-21T13:34:37-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;As an Acceleration Kernel Developer at Tenstorrent, you will play a crucial role in optimizing low-level workloads, kernel development, and enhancing our software\u0026#39;s performance for machine learning applications. You will work closely with a team of highly skilled engineers to ensure that our software operates at peak efficiency, delivering high-quality results to our clients and users.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;This role is hybrid, based out of Toronto, Ontario.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Kernel Development:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Participate in the design, development, and maintenance of kernel-level software components for our applications. develop and optimize kernels and kernel libraries for efficient machine learning and HPC applications.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Implementation of tensor compute and tensor data movement optimizations kernels\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Heavy focus on optimizations.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Low-Level Optimization:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Analyze and optimize low-level code to improve the performance and efficiency of our software, with a strong emphasis on tensor optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Machine Learning Integration:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Collaborate with machine learning engineers and data scientists to integrate optimized kernels and low-level routines into machine learning frameworks and pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Performance Profiling:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Identify performance bottlenecks, conduct performance profiling, and develop strategies to address and resolve them.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Testing and Debugging:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Write comprehensive unit tests, conduct thorough debugging, and ensure the stability and reliability of kernel-level code.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Infrastructure:\u0026amp;nbsp;\u0026lt;/strong\u0026gt;Develop infrastructure to analyze functional test and performance test data.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Documentation:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Create clear and concise documentation for code, APIs, and best practices to facilitate collaboration within the team.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Research and Innovation:\u0026lt;/strong\u0026gt;\u0026amp;nbsp;Stay up-to-date with the latest developments in kernel development, tensor optimization, and machine learning to propose innovative solutions and improvements.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Experience \u0026amp;amp; Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Currently enrolled in a bachelors degree, or a masters or doctorate program in Computer Science, Software Engineering, Computer Engineering, Engineering Science or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;A strong understanding of algorithm implementation and low level algorithm optimization.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Experience with parallel acceleration development, such as parallel algorithms on CPU, or GPU acceleration.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;High degree of proficiency in C/C++ and Python programming languages.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Familiarity with machine learning frameworks and concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Strong problem-solving skills and the ability to analyze and debug complex issues.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Experience with debug, performance profiling and optimization tools.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Excellent communication and teamwork skills.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Self-motivated, detail-oriented, and able to work independently as well as in a team.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Familiarity with infrastructure built with cloud services is a plus (e.g. AWS).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022994007,"name":"Santa Clara","location":"Santa Clara, California, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4873659007","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":4498373007,"location":{"name":"Toronto, Ontario, Canada"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":4873659007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230915","title":"AI Compiler Software Intern (PEY)","company_name":"Tenstorrent University Jobs","first_published":"2025-09-12T17:51:34-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;At Tenstorrent, interns don’t just write code—they help shape the future of AI compute. As a Software Compiler Intern, you’ll work with a dedicated mentor and collaborate across software, firmware, hardware, and systems teams. This is a rare chance to work on performance-critical code and gain experience across the full AI stack.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is on-site based in Toronto, Canada.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;712\u0026quot; data-end=\u0026quot;790\u0026quot;\u0026gt;Pursuing (or recently completed) a degree in EE, CE, CS, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;712\u0026quot; data-end=\u0026quot;790\u0026quot;\u0026gt;Solid foundation in C/C++ and algorithms; Python skills are a bonus.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;712\u0026quot; data-end=\u0026quot;790\u0026quot;\u0026gt;Curious about compilers, ML, parallel systems, or processor architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;712\u0026quot; data-end=\u0026quot;790\u0026quot;\u0026gt;Problem-solver who enjoys working across abstraction layers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;1034\u0026quot; data-end=\u0026quot;1101\u0026quot;\u0026gt;Contribute to the development of Tenstorrent’s ML graph compiler.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1034\u0026quot; data-end=\u0026quot;1101\u0026quot;\u0026gt;Benchmark and optimize key ML workloads across hardware/software.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1034\u0026quot; data-end=\u0026quot;1101\u0026quot;\u0026gt;Build performance analysis tools to inform compiler and runtime design.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1034\u0026quot; data-end=\u0026quot;1101\u0026quot;\u0026gt;Collaborate with ML and systems teams to co-design across the stack.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;1355\u0026quot; data-end=\u0026quot;1415\u0026quot;\u0026gt;Compiler design for machine learning models and workloads.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1355\u0026quot; data-end=\u0026quot;1415\u0026quot;\u0026gt;End-to-end co-design of software and cutting-edge AI hardware.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1355\u0026quot; data-end=\u0026quot;1415\u0026quot;\u0026gt;Performance tuning and analysis in a high-performance runtime.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1355\u0026quot; data-end=\u0026quot;1415\u0026quot;\u0026gt;Real-world ML integration with frameworks and low-level systems.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022995007,"name":"Toronto","location":"Toronto, Ontario, Canada","child_ids":[],"parent_id":4023686007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/5121054007","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":4624368007,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":5121054007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20231208","title":"AI Infrastructure Intern - Low Level Kernel Testing","company_name":"Tenstorrent University Jobs","first_published":"2026-04-28T15:08:10-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div\u0026gt;At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a \u0026quot;code-to-career\u0026quot; pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;As an AI Infrastructure Intern - Low Level Kernel Testing, you will help build and enhance the performance testing infrastructure that ensures our AI processors deliver optimal performance. You will work on infrastructure that continuously monitors, analyzes, and visualizes performance metrics, enabling our team to catch regressions early and ship high-quality software with confidence. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;This role is onsite, based in our Belgrade, Serbia office.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong proficiency in Python with a focus on developing automation scripts and streamlining workflows.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with Linux environments, Bash scripting, and a working knowledge of C++.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of database concepts (SQL/PostgreSQL) and basic computer hardware architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curiosity about automation, CI/CD workflows, and data visualization, hands on experience is plus.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026amp;nbsp;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement a robust system for storing and managing performance test results generated by our LLK library.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build end-to-end automation systems to support regression testing driven by specific performance metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop and enhance data dashboards to visualize performance trends and provide clear test result summaries.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Create sophisticated alerting systems to notify engineering teams of performance regressions and data anomalies.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve existing performance testing frameworks to support continuous monitoring and cross-functional engineering insights.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;How to design systems for storing and analyzing high-volume performance metrics from AI hardware testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How to build automated pipelines that detect regressions early and maintain rigorous quality standards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How to transform raw performance data into actionable insights through modern monitoring and visualization tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with industry-standard infrastructure including GitHub Actions, cloud storage, and relational databases.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Hiring Timelines\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Winter Term: Mar–May work term, Nov–Jan recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summer Term: Aug–Oct work term, Jan–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fall Term: Oct–Dec work term, Apr–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Please note these timelines are for reference only. Actual timelines may vary.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022997007,"name":"Belgrade","location":"Belgrade, Serbia","child_ids":[],"parent_id":4023003007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4955926007","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":4542994007,"location":{"name":"Santa Clara, California, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Hardware"],"value_type":"multi_select"}],"id":4955926007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"UNI-2025341","title":"Chiplet Security Research Intern ","company_name":"Tenstorrent University Jobs","first_published":"2025-11-05T23:13:52-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We are seeking a candidate with expertise in silicon security engineering. This role involves critical tasks such as threat modeling to identify and mitigate potential vulnerabilities, and designing robust security processors. The ideal candidate will contribute to safeguarding our cutting-edge AI technology.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;We are currently hiring for the Fall Term.\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is\u0026lt;strong\u0026gt; onsite\u0026lt;/strong\u0026gt;, based out of Santa Clara, CA.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently pursuing a M.S or Ph.D. degree in Computer Science, Computing Engineering, Electrical Engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong background in computer security, verification, or testing.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiar with computer architecture, digital logic design or software development\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in programming languages such as RTL or C/C++..\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Conduct security analysis of Tenstorrent’s AI solutions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in security processor design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Do research on advanced security technologies for chiplet based silicons.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Security engineering of cutting edge security processor.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Security engineering of chiplet based silicon.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;AI-assisted design.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022994007,"name":"Santa Clara","location":"Santa Clara, California, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4501134007","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":4312620007,"location":{"name":"Austin, Texas, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":4501134007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230358","title":"CPU Core Performance Verification Intern - CPU/AI Hardware","company_name":"Tenstorrent University Jobs","first_published":"2024-08-30T10:07:07-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;Join the team building high-performance RISC-V CPU cores at Tenstorrent. As a Performance Verification Intern, you will work alongside CPU architects, micro-architects, and performance engineers to ensure our designs meet real-world performance demands. This is a hands-on role that spans simulation, emulation, debug, and analysis.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is on-site, full-time (40 hours/week) in Santa Clara, CA or Austin, TX.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pursuing a BS, MS, or PhD in EE, ECE, CE, or CS with strong academic performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced with assembly, C/C++, and scripting in Python or Perl.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiar with CPU architecture and performance concepts, including pipelines, memory systems, and branch prediction.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working through complex debug problems in a methodical, detail-oriented way.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Interns who can create performance test plans and write stimulus to stress real CPU scenarios.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Engineers who can run simulations and emulations to validate performance metrics.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contributors who can bring up and debug workloads ranging from open-source benchmarks to industry-standard suites.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Teammates who can investigate mismatches between RTL and performance models and help root-cause bottlenecks.\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;h3\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/h3\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;How CPU performance is measured, validated, and optimized before silicon.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How performance models, RTL implementations, and debug tools come together in a real chip development workflow.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Techniques for balancing tradeoffs in microarchitecture to hit performance targets.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;What it takes to collaborate across architecture, design, and post-silicon teams in a high-performance CPU project.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022993007,"name":"Austin","location":"Austin, Texas, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4999339007","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":4567278007,"location":{"name":"Austin, Texas, United States; Fort Collins, Colorado, United States; North America; Santa Clara, California, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Hardware"],"value_type":"multi_select"}],"id":4999339007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"UNI-2025345","title":"Data Movement Architecture Intern","company_name":"Tenstorrent University Jobs","first_published":"2025-12-09T10:42:35-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;Our team has built a high-performance RISC-V CPU from the ground up and is committed to building the best AI platform possible. We value collaboration, curiosity, and a passion for solving hard technical problems across software, compute, networking, and semiconductors.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As part of the Platform Architecture team, the \u0026lt;strong\u0026gt;Data Movement Architecture Intern\u0026lt;/strong\u0026gt; will help shape the performance of our next-generation AI, CPU, and heterogeneous platforms. You’ll work closely with architects and software engineers to design, model, and analyze how data movement subsystems impact system behavior and application-level performance.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;remote, based out of Austin, TX, Santa Clara, CA or Fort Collins, CO.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;A highly motivated student who enjoys deep technical exploration and performance analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curious about how data moves across compute, memory, and networking in complex AI/CPU systems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable interpreting simulation data and evaluating architecture tradeoffs.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A strong communicator who collaborates well across multidisciplinary teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pursuing an MS/PhD in Computer Engineering, Computer Science, Electrical Engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid understanding of computer architecture topics such as interconnects, memory hierarchies, and caching.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in C/C++ and scripting languages like Python or Shell.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with RTL design and simulation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Designing and optimizing data movement subsystems including CPU controllers, DMA engines, and accelerators.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Conducting performance exploration for CPU controller features and system-level data movement.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Performing PPA analysis and developing reduced data movement kernels for modeling and emulation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Working with software, RTL, and architecture teams to understand real-world AI/CPU workloads.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022993007,"name":"Austin","location":"Austin, Texas, United States","child_ids":[],"parent_id":4023685007},{"id":4023000007,"name":"Boston","location":"Boston, Massachusetts, United States","child_ids":[],"parent_id":4023685007},{"id":4023004007,"name":"Fort Collins","location":"Fort Collins, Colorado, United States","child_ids":[],"parent_id":4023685007},{"id":4022994007,"name":"Santa Clara","location":"Santa Clara, California, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4873756007","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":4498419007,"location":{"name":"Boston, Massachusetts, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Hardware"],"value_type":"multi_select"}],"id":4873756007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230917","title":"Design Verification Engineer, Intern   ","company_name":"Tenstorrent University Jobs","first_published":"2025-09-12T17:53:58-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines – they help build the core of it. We provide a \u0026quot;code-to-career\u0026quot; pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As a Design Verification Engineer Intern on the SoC Digital Verification team, you will help ensure the functional correctness and robustness of Tenstorrent’s next-generation RISC‑V and AI accelerator SoCs. You will work on building and improving modern verification environments, developing tests and checkers, and analyzing coverage to sign off complex digital IP and subsystems. Your work directly contributes to the reliability of the chips that power our AI and high‑performance computing roadmap.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is hybrid, based in our Boston, MA office.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who you are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Pursuing a \u0026lt;strong\u0026gt;B.S. , M.S. or PhD. in Electrical Engineering, Computer Engineering, Computer Science\u0026lt;/strong\u0026gt;, or a related field with a focus on \u0026lt;strong\u0026gt;digital design and verification\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of \u0026lt;strong\u0026gt;digital logic design\u0026lt;/strong\u0026gt; and \u0026lt;strong\u0026gt;computer architecture\u0026lt;/strong\u0026gt; (pipelines, caches, interconnects, memory systems).\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiar with \u0026lt;strong\u0026gt;HDLs such as Verilog/SystemVerilog\u0026lt;/strong\u0026gt;, and interested in learning \u0026lt;strong\u0026gt;Formal verification, Cocotb, and UVM‑based verification methodologies\u0026lt;/strong\u0026gt;.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable working in \u0026lt;strong\u0026gt;Linux-based development environments\u0026lt;/strong\u0026gt; and using scripting languages (e.g., \u0026lt;strong\u0026gt;Python, Shell, Perl\u0026lt;/strong\u0026gt;) to automate tasks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Detail-oriented problem solver who enjoys \u0026lt;strong\u0026gt;debugging complex issues\u0026lt;/strong\u0026gt;, reasoning about corner cases, and working from specifications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborative team member with clear communication skills, able to document work and discuss trade‑offs with RTL, architecture, and validation teams.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Help \u0026lt;strong\u0026gt;develop and maintain SystemVerilog/UVM testbenches\u0026lt;/strong\u0026gt; for SoC IP blocks and subsystems, including stimulus, checkers, and scoreboards.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write and refine \u0026lt;strong\u0026gt;verification test plans\u0026lt;/strong\u0026gt; from architectural and micro‑architectural specifications, with a strong focus on corner cases and coverage.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop \u0026lt;strong\u0026gt;constrained‑random and directed tests\u0026lt;/strong\u0026gt;, run regressions, and triage failures by working closely with RTL designers to root-cause issues.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze \u0026lt;strong\u0026gt;functional and code coverage results\u0026lt;/strong\u0026gt;, identify gaps, and propose additional tests or checks to drive coverage closure.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to \u0026lt;strong\u0026gt;automation and infrastructure\u0026lt;/strong\u0026gt; (scripts, Makefiles, CI hooks, dashboards) that improve verification productivity and debug turnaround time.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Partner with \u0026lt;strong\u0026gt;cross‑functional teams\u0026lt;/strong\u0026gt; (architecture, design, performance, validation) to align on expected behavior and sign‑off criteria for silicon.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have impact measured through \u0026lt;strong\u0026gt;coverage metrics achieved, quality and reproducibility of bugs found, and robustness of the verification environment\u0026lt;/strong\u0026gt; you help build.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;End‑to‑end \u0026lt;strong\u0026gt;SoC design and verification flow\u0026lt;/strong\u0026gt; for cutting‑edge RISC‑V and AI accelerator architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Industry‑standard \u0026lt;strong\u0026gt;verification methodologies (SystemVerilog/UVM)\u0026lt;/strong\u0026gt;, including testbench architecture, stimulus generation, and scoreboard/checker design.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands-on experience with \u0026lt;strong\u0026gt;simulation, regression, and coverage tools\u0026lt;/strong\u0026gt; used in large‑scale industrial verification environments.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How to \u0026lt;strong\u0026gt;read and interpret hardware specifications\u0026lt;/strong\u0026gt;, micro‑architecture documents, and timing diagrams, and translate them into actionable tests and assertions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Exposure to \u0026lt;strong\u0026gt;high‑performance interconnects, memory controllers, and accelerators\u0026lt;/strong\u0026gt;, and how they are verified at IP, subsystem, and SoC levels.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Best practices for \u0026lt;strong\u0026gt;collaborating in a silicon development team\u0026lt;/strong\u0026gt;, including code review, documentation, and cross‑site communication.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;USA Hiring Timelines\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Winter Term: Jan–Apr work term, Sept–Dec recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summer Term: May–Aug work term, Oct–Apr recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fall Term: Sept–Dec work term, Jan–Aug recruit.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Please note these timelines are for reference only. Actual timelines may vary.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4023000007,"name":"Boston","location":"Boston, Massachusetts, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4501100007","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":4312605007,"location":{"name":"Austin, Texas, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Hardware"],"value_type":"multi_select"}],"id":4501100007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230356","title":"Design Verification Intern -RISCV CPU","company_name":"Tenstorrent University Jobs","first_published":"2024-08-30T09:48:18-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;In this role, you will learn Functional verification of high-performance CPUs going into industry leading AI/ML architecture. You will be mentored by and work alongside a group of highly experienced engineers across various domains of the AI chip.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;This is for our Fall 2026 Semester\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Passionate about computer architecture and curious about how cutting-edge CPUs actually work.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Enrolled in a BS, MS, or PhD program in EE, CE, CS, or a related field, with a strong academic record.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced with C++, SystemVerilog, or scripting languages through coursework or personal projects.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable thinking at both the software and hardware level—including assembly and RTL.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the functional verification of high-performance CPUs designed for general purpose and AI/ML applications.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help develop DV test plans and testbenches for both ISA and microarchitecture-level features.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Debug RTL code and assist in making real design changes that impact chip development.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build tools and write stimulus code that can scale across pre-silicon to post-silicon environments.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Get hands-on experience verifying state-of-the-art AI/ML hardware with guidance from experienced engineers.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Explore how performance, RTL, and DV tools come together in a full-chip environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deepen your understanding of CPU design, ISA-level verification, and system-level debugging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work in a real-world engineering team and gain exposure to industry-standard workflows and toolchains.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022993007,"name":"Austin","location":"Austin, Texas, United States","child_ids":[],"parent_id":4023685007},{"id":4022994007,"name":"Santa Clara","location":"Santa Clara, California, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4522665007","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":4322075007,"location":{"name":"North America"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":null,"value_type":"multi_select"}],"id":4522665007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230405","title":"Design Verification Software Intern","company_name":"Tenstorrent University Jobs","first_published":"2024-09-20T12:14:48-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;This role entails design and development of scalable infrastructure and software for the verification of high performance CPUs going into industry leading AI/ML architecture. The successful candidate will be responsible for development and automation of many aspects of the verification environment. The person coming into this role will have opportunities such as: writing low-level RISC-V assembly,\u0026amp;nbsp;building complex low-latency multithreaded testbenches,\u0026amp;nbsp;database programming,\u0026amp;nbsp;software testing and release automation,\u0026amp;nbsp;verilog coding and optimization of CPU components, and\u0026amp;nbsp;contributing to open source projects in the RISC-V ecosystem.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is on site, based out of Santa Clara, CA or Austin, TX.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;span style=\u0026quot;text-decoration: underline;\u0026quot;\u0026gt;This is for our Fall 2026 Semester\u0026lt;/span\u0026gt;\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Build software and scripts for high performance simulation and emulation of CPUs\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Improve verilog for optimal simulation performance and fpga emulation synthesis\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Maintain and enhance the Git infrastructure to support CI/CD, nightly regressions across multiple development platforms\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Build software tools and scripts for design flow automation\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Experience \u0026amp;amp; Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently working towards a Bachelors program\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming skills. C++, Python, SystemVerilog preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid experience with the Linux operating system\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with version control. Git preferred.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interest in CPUs, hardware design, and/or programming\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Willing to learn and adapt\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022993007,"name":"Austin","location":"Austin, Texas, United States","child_ids":[],"parent_id":4023685007},{"id":4022994007,"name":"Santa Clara","location":"Santa Clara, California, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4868622007","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":4495584007,"location":{"name":"North America"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":4868622007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230900","title":"Formal Verification Intern","company_name":"Tenstorrent University Jobs","first_published":"2025-10-02T13:40:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;Join a team that’s redefining how cutting-edge AI silicon gets verified. At Tenstorrent, formal verification isn’t just a checkbox—it’s core to how we ensure correctness at the speed of innovation. As a Formal Verification Intern, help build confidence in hardware designs that power tomorrow\u0026#39;s AI systems.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is\u0026lt;strong\u0026gt;\u0026amp;nbsp;\u0026lt;/strong\u0026gt;on-site, based out of Austin, Texas\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Strong background in digital design fundamentals and computer architecture.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Curious about how complex chips work—and how to prove that they do.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Skilled in SystemVerilog or similar HDL, with exposure to formal tools a bonus.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Detail-driven, persistent, and ready to tackle hard problems with a logical mindset.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Help write formal properties and assertions for critical hardware blocks.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Assist with testbench development and automation flows for formal analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Run and debug formal tools to identify corner-case design issues.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Collaborate with design and DV teams to integrate formal into the verification process.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Real-world application of formal methods to cutting-edge processor architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;How formal fits into the broader hardware verification strategy.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Exposure to industry-standard EDA tools and flows (e.g., Jasper, Questa).\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Best practices for scalable, maintainable assertion-based verification.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022993007,"name":"Austin","location":"Austin, Texas, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/5065140007","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":4598763007,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":5065140007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20231114","title":"Inference Server – Product Software Intern","company_name":"Tenstorrent University Jobs","first_published":"2026-03-02T12:01:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a \u0026quot;code-to-career\u0026quot; pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Join our Inference Server Technologies team, where we build the software layer that powers state-of-the-art AI inference on Tenstorrent hardware. This team develops APIs, deploys workloads, and benchmarks end-to-end model performance so developers can efficiently scale inference on our stack. You will work on a project under the guidance of experienced engineers and a dedicated mentor. \u0026amp;nbsp;We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.\u0026lt;/p\u0026gt;\nThis role is hybrid based in Belgrade, Serbia.\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Final-year BSc or MSc student in Computer Science, Software Engineering, Electrical Engineering, or a related technical field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong programming fundamentals in Python, with familiarity in C++ considered a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interested in backend systems, API design, and how ML models are deployed in production environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curious about performance optimization techniques such as batching, caching, and model parallelism\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated to learn and contribute in a collaborative engineering environment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to backend features and APIs that support AI inference workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in deploying, testing, and benchmarking models running on Tenstorrent hardware\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze inference performance and help identify optimization opportunities\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write clean, maintainable code with guidance from senior engineers\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with the team to improve reliability, usability, and performance of the inference server stack\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;How end-to-end ML inference is optimized on custom AI hardware\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How scalable backend systems are designed to serve real-world AI applications\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How APIs and infrastructure shape the developer experience for AI workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical performance analysis techniques in production-like environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How modern AI software stacks integrate models, runtimes, and hardware\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Hiring Timelines\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Winter Term: Mar–May work term, Nov–Jan recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summer Term: Aug–Oct work term, Jan–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fall Term: Oct–Dec work term, Apr–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Please note these timelines are for reference only. Actual timelines may vary.\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022997007,"name":"Belgrade","location":"Belgrade, Serbia","child_ids":[],"parent_id":4023003007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4530843007","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":4326207007,"location":{"name":"Canada; United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Operations"],"value_type":"multi_select"}],"id":4530843007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230434","title":"IP Product Operations Intern","company_name":"Tenstorrent University Jobs","first_published":"2024-10-04T09:40:12-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;The \u0026lt;strong\u0026gt;IP Product Team\u0026lt;/strong\u0026gt; is where deep tech meets big-picture strategy. We’re the bridge between engineering brilliance and real-world impact — defining how our core IP comes to life and gets delivered to customers.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;We’re looking for an \u0026lt;strong\u0026gt;Intern\u0026lt;/strong\u0026gt; who loves technology and wants to learn how world-class intellectual property (IP) gets transformed into world-changing products. You’ll collaborate with engineers, product managers, and cross-functional teams to help shape the future of Tenstorrent’s RISC-V CPU and AI IP portfolio.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is\u0026lt;strong\u0026gt; remote\u0026lt;/strong\u0026gt;, based out of the U.S. or Canada.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Currently enrolled in an Engineering, Computer Science, Business, or related undergraduate program.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have \u0026lt;strong\u0026gt;exposure to engineering concepts or environments\u0026lt;/strong\u0026gt; — you can follow (and enjoy!) a technical conversation, even if you’re not an engineer yourself.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Have \u0026lt;strong\u0026gt;experience or a strong interest in program management\u0026lt;/strong\u0026gt;, \u0026lt;strong\u0026gt;operations management\u0026lt;/strong\u0026gt;, especially where technology and strategy intersect.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;A clear and confident communicator who loves translating technical detail into actionable insight.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Highly organized, curious, and ready to take initiative in a fast-moving environment.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Excited by semiconductors, RISC-V, AI, and the process of turning cutting-edge ideas into products that scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skilled in applying AI technology to automate, generate, analyze data.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Support in defining and maintaining product documentation, roadmaps, planning and release materials for Tenstorrent IP.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Coordinate with engineering and product management teams to ensure alignment on milestones and deliverables.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in gathering and analyzing data to support product decisions and reporting using AI tools.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help manage internal tools and processes for IP lifecycle management and customer documentation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in cross-functional meetings to capture action items and help drive follow-up execution\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;How semiconductor IP is developed, tracked, and released at scale.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;The art and science of program management and operations in the world of RISC-V CPUs, AI and hardware innovation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Best practices and applying AI in documentation, communication, and product lifecycle management.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Deep insights into RISC-V architecture, AI accelerators, and the technology shaping the future of compute.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022995007,"name":"Toronto","location":"Toronto, Ontario, Canada","child_ids":[],"parent_id":4023686007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4501164007","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":4312635007,"location":{"name":"Austin, Texas, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Hardware"],"value_type":"multi_select"}],"id":4501164007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230361","title":"Machine Learning for Physical Design Intern - CPU/AI Hardware   ","company_name":"Tenstorrent University Jobs","first_published":"2024-08-30T10:42:41-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;As an intern in the Physical Design (PD) team, you will work on high-performance designs going into industry leading AI/ML architectures. The student coming into this role will develop ML-based tools and flows to improve the PPA (Performance Power Area) and turnaround time for all aspects of chip implementation from synthesis to tapeout for various IPs. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is on-site, 40 hours, based out of Santa Clara, CA or Austin, TX.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;paragraph normal ng-star-inserted\u0026quot; data-start-index=\u0026quot;800\u0026quot;\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot;\u0026gt;Currently pursuing a BS/MS/PhD in EE/ECE/CE/CS\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot; data-start-index=\u0026quot;846\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Possessing deep knowledge of\u0026amp;nbsp;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot;\u0026gt;math, probability, statistics, and algorithms\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot; data-start-index=\u0026quot;929\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in solving problems with Machine Learning models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skilled in algorithms, data structures, and software development using\u0026amp;nbsp;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot;\u0026gt;Python and C/C++\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot; data-start-index=\u0026quot;1094\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ability to develop ML-based tools to improve PPA and turnaround time for chip implementation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with other PD engineers to develop ML tools for areas such as synthesis, PnR, timing closure, and power grid analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Responsibility for selecting appropriate datasets, data representation methods, and implementing new algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Capability to run machine learning tests, perform statistical analysis, and fine-tune models using test results.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;How to apply ML systems and flows to high-performance designs for industry-leading AI/ML architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical experience in extending existing ML systems and implementing cutting-edge algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain exposure to core physical design fundamentals, including synthesis, place and route, and timing analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with a group of highly experienced engineers across various domains of the ASIC implementation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;em\u0026gt;Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set\u0026amp;nbsp; by the U.S. government.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;em\u0026gt;Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;em\u0026gt;If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.\u0026amp;nbsp; If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022993007,"name":"Austin","location":"Austin, Texas, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4968215007","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":4312635007,"location":{"name":"Santa Clara, California, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Hardware"],"value_type":"multi_select"}],"id":4968215007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230361","title":"Machine Learning for Physical Design Intern - CPU/AI Hardware   ","company_name":"Tenstorrent University Jobs","first_published":"2025-11-04T00:13:37-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;As an intern in the Physical Design (PD) team, you will work on high-performance designs going into industry leading AI/ML architectures. The student coming into this role will develop ML-based tools and flows to improve the PPA (Performance Power Area) and turnaround time for all aspects of chip implementation from synthesis to tapeout for various IPs. The work is done collaboratively with a group of highly experienced engineers across various domains of the ASIC.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is on-site, hybrid, based out of Santa Clara, CA working 4 days in office, 1 day remote.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;paragraph normal ng-star-inserted\u0026quot; data-start-index=\u0026quot;800\u0026quot;\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot;\u0026gt;Currently pursuing a BS/MS/PhD in EE/ECE/CE/CS\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot; data-start-index=\u0026quot;846\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Possessing deep knowledge of\u0026amp;nbsp;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot;\u0026gt;math, probability, statistics, and algorithms\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot; data-start-index=\u0026quot;929\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experienced in solving problems with Machine Learning models.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Skilled in algorithms, data structures, and software development using\u0026amp;nbsp;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot;\u0026gt;Python and C/C++\u0026lt;/span\u0026gt;\u0026lt;span class=\u0026quot;ng-star-inserted\u0026quot; data-start-index=\u0026quot;1094\u0026quot;\u0026gt;.\u0026lt;/span\u0026gt;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;/div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;\u0026lt;br\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Ability to develop ML-based tools to improve PPA and turnaround time for chip implementation.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with other PD engineers to develop ML tools for areas such as synthesis, PnR, timing closure, and power grid analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Responsibility for selecting appropriate datasets, data representation methods, and implementing new algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Capability to run machine learning tests, perform statistical analysis, and fine-tune models using test results.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;How to apply ML systems and flows to high-performance designs for industry-leading AI/ML architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical experience in extending existing ML systems and implementing cutting-edge algorithms.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Gain exposure to core physical design fundamentals, including synthesis, place and route, and timing analysis.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience collaborating with a group of highly experienced engineers across various domains of the ASIC implementation.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;em\u0026gt;Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set\u0026amp;nbsp; by the U.S. government.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;em\u0026gt;Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;em\u0026gt;If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.\u0026amp;nbsp; If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022993007,"name":"Austin","location":"Austin, Texas, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/5076959007","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":4604104007,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":5076959007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20231130","title":"Machine Learning Intern, AI Compiler - Model Training (Serbia)","company_name":"Tenstorrent University Jobs","first_published":"2026-03-12T13:56:31-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a \u0026quot;code-to-career\u0026quot; pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an intern at Tenstorrent, you will experience working on a carefully defined and real engineering project, guided by a dedicated mentor and a manager, and as a part of a team. This role focuses on model training pipelines on the Tenstorrent compiler stack and how neural networks are brought up and optimized on our hardware. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is on-site based in Belgrade, Serbia.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Possessing or currently pursuing a Bachelor\u0026#39;s or Master\u0026#39;s degree in Computer Science, Electrical Engineering, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong understanding of neural network fundamentals.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Proficiency in Python; experience with C++ is a plus.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Ability to learn and work effectively within a team environment.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Participate in the implementation and validation of model training pipelines on Tenstorrent compiler stack, specifically using PyTorch and JAX.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Support benchmarking, analysis, and performance optimization of various model architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to efforts in scaling out distributed model training under guidance and participate in discussions related to the co-design of Tenstorrent\u0026#39;s hardware and software stack.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in the integration of Tenstorrent software with widely used tools in the machine learning community.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;The process of getting neural network models to train correctly and efficiently on our hardware.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Techniques for benchmarking, analysis, and performance optimization of various model architectures.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How to scale out distributed model training and participate in hardware–software co-design discussions.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How Tenstorrent software integrates with widely used tools in the machine learning community and how a cross‑functional engineering team collaborates on real projects.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Hiring Timelines\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Winter Term: Mar–May work term, Nov–Jan recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summer Term: Aug–Oct work term, Jan–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fall Term: Oct–Dec work term, Apr–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Please note these timelines are for reference only. Actual timelines may vary.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022997007,"name":"Belgrade","location":"Belgrade, Serbia","child_ids":[],"parent_id":4023003007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4873587007","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":4498337007,"location":{"name":"Toronto, Ontario, Canada"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Systems"],"value_type":"multi_select"}],"id":4873587007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230913","title":"Mechanical Engineer, Intern","company_name":"Tenstorrent University Jobs","first_published":"2025-09-12T17:44:17-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;Join Tenstorrent’s Systems Engineering team to help shape the mechanical side of high-performance AI systems. As a PEY/Intern, you’ll work hands-on with real hardware—designing, testing, and improving the physical systems that power our chips. You’ll be part of a team that values curiosity, precision, and creative problem-solving.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;This role is onsite, based in Toronto, ON.\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;642\u0026quot; data-end=\u0026quot;722\u0026quot;\u0026gt;Enrolled in a Mechanical Engineering or related program (PEY/internship term).\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;642\u0026quot; data-end=\u0026quot;722\u0026quot;\u0026gt;Comfortable using MCAD tools and standard mechanical lab equipment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;642\u0026quot; data-end=\u0026quot;722\u0026quot;\u0026gt;Organized, hands-on, and ready to learn fast in a lab environment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;642\u0026quot; data-end=\u0026quot;722\u0026quot;\u0026gt;Communicates clearly and pays attention to the details that matter.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;p-rich_text_list p-rich_text_list__bullet\u0026quot; data-stringify-type=\u0026quot;unordered-list\u0026quot; data-indent=\u0026quot;0\u0026quot; data-border=\u0026quot;0\u0026quot;\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;School experience with MCAD software.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;School experience using standard mechanical lab equipment.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Exposure to thermal or fluid modeling software is an asset.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Excellent verbal and written communication skills.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Strong attention to detail and organization skills.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;1281\u0026quot; data-end=\u0026quot;1352\u0026quot;\u0026gt;How mechanical design integrates into real-world AI hardware systems.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1281\u0026quot; data-end=\u0026quot;1352\u0026quot;\u0026gt;Testing techniques for thermal, acoustic, and structural performance.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1281\u0026quot; data-end=\u0026quot;1352\u0026quot;\u0026gt;Collaboration across electrical, mechanical, and validation teams.\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1281\u0026quot; data-end=\u0026quot;1352\u0026quot;\u0026gt;Best practices in documentation, lab workflows, and system bring-up.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022995007,"name":"Toronto","location":"Toronto, Ontario, Canada","child_ids":[],"parent_id":4023686007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/5082990007","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":4606790007,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":5082990007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20231135","title":"ML Models Implementation \u0026 Performance Optimization, Intern (Serbia)","company_name":"Tenstorrent University Jobs","first_published":"2026-03-18T13:14:54-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a \u0026quot;code-to-career\u0026quot; pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;In this role, you will implement state of art ML models on Tenstorrent hardware using Python and C++, focusing on pushing both accuracy and inference speed. You will work hands-on with Tenstorrent’s open-source software stack (tt-metalium, tt-nn, tt-llk), taking models from framework to silicon and iterating on performance. You will own a well-defined engineering project under the guidance of a dedicated mentor, with direct impact on how real workloads run on our chips. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is onsite, based in our Belgrade office.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Enrolled in the final year of BSc or MSc studies in Computer Science, Computer Engineering, Software Engineering, Electronics, Math, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Solid coding skills in Python and C++, with a basic understanding of machine learning concepts and frameworks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You have a passion for programming, are eager to learn, and enjoy solving complex performance and optimization problems.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are collaborative, open to feedback, and excited to work closely with experienced engineers and a dedicated mentor.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Implement functional ML models on Tenstorrent hardware using Python and popular ML frameworks like PyTorch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Benchmark, analyze, and optimize the performance of the implemented model\u0026#39;s inference using existing tools and coding in C++ and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with experienced engineers to validate the accuracy of implemented models and iterate on improvements.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Contribute to performance optimization efforts where success is measured by achieving both high accuracy and fast execution (inference) of ML models on Tenstorrent hardware.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;How to implement state-of-the-art ML models on Tenstorrent hardware using Python, C++, and popular ML frameworks like PyTorch.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Techniques for benchmarking, analyzing, and optimizing the performance of ML model inference using existing tools and code in C++ and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How to use (and potentially debug and fix) Tenstorrent’s open-source software libraries, such as tt-metalium, tt-nn, and tt-llk.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How to collaborate with experienced engineers, apply various problem-solving techniques, and drive a well-defined engineering project under the guidance of a dedicated mentor.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Hiring Timelines\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Winter Term: Mar–May work term, Nov–Jan recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summer Term: Aug–Oct work term, Jan–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fall Term: Oct–Dec work term, Apr–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Please note these timelines are for reference only. Actual timelines may vary.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022997007,"name":"Belgrade","location":"Belgrade, Serbia","child_ids":[],"parent_id":4023003007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/5082997007","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":4606793007,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":5082997007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20231136","title":"Models Infra - Product Software Intern (Serbia)","company_name":"Tenstorrent University Jobs","first_published":"2026-03-18T13:31:05-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;Join our Models Infra team, where we build the systems that enable reliable development, testing, and release of AI models on Tenstorrent hardware. This team focuses on automation, CI/CD pipelines, infrastructure, and tooling that power large-scale model validation, benchmarking, and release workflows. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is hybrid based in Belgrade, Serbia.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;You will work on real-world infrastructure problems under the guidance of experienced engineers and a dedicated mentor.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Final-year BSc or MSc student in Computer Science, Software Engineering, Electrical Engineering, or a related field\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable with Python and scripting; familiarity with Bash is a plus\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Interested in infrastructure, automation, CI/CD systems, and developer tooling\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Basic understanding of Docker and containerized environments\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Curious about how large-scale systems are built, tested, and deployed\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Motivated to learn, take ownership, and contribute in a collaborative environment\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to CI/CD pipelines used for building, testing, and releasing AI software and models\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Help automate workflows around model validation, benchmarking, and reporting\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work with Docker and containerized environments to improve reproducibility and efficiency\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Assist in maintaining and improving infrastructure used by engineers (e.g. runners, build systems, test environments)\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write clean, maintainable scripts and tools with guidance from senior engineers\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;h2\u0026gt;\u0026lt;span style=\u0026quot;font-size: 10pt;\u0026quot;\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/span\u0026gt;\u0026lt;/h2\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;How CI/CD systems are designed and scaled for complex AI workloads\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How infrastructure enables reliable model development and release processes\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Best practices for automation, observability, and system reliability\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How containerization and orchestration are used in production environments\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Hiring Timelines\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Winter Term: Mar–May work term, Nov–Jan recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summer Term: Aug–Oct work term, Jan–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fall Term: Oct–Dec work term, Apr–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Please note these timelines are for reference only. Actual timelines may vary.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022997007,"name":"Belgrade","location":"Belgrade, Serbia","child_ids":[],"parent_id":4023003007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4526301007","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":4323992007,"location":{"name":"Austin, Texas, United States; Santa Clara, California, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Hardware"],"value_type":"multi_select"}],"id":4526301007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20230420","title":"Physical Design Intern - CPU/AI Hardware","company_name":"Tenstorrent University Jobs","first_published":"2024-09-25T15:23:32-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;Join a team shaping the performance of next-gen CPUs and AI/ML chips. As a Physical Design Intern, you\u0026#39;ll work hands-on from synthesis through tapeout, collaborating with top engineers to optimize some of the most advanced silicon in the world.\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is onsite, based out of Austin, TX or Santa Clara, CA.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;704\u0026quot; data-end=\u0026quot;763\u0026quot;\u0026gt;Currently pursuing a BS, MS, or PhD in EE, ECE, CE, or CS\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;704\u0026quot; data-end=\u0026quot;763\u0026quot;\u0026gt;Solid understanding of logic design, VLSI, and transistor-level concepts\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;704\u0026quot; data-end=\u0026quot;763\u0026quot;\u0026gt;Familiar with PnR tools, timing analysis, and power optimization techniques\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;704\u0026quot; data-end=\u0026quot;763\u0026quot;\u0026gt;Comfortable scripting in Tcl, Perl, Shell, or Python\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;1007\u0026quot; data-end=\u0026quot;1098\u0026quot;\u0026gt;Support key physical design tasks—synthesis, floorplanning, PnR, clocking, timing closure\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1007\u0026quot; data-end=\u0026quot;1098\u0026quot;\u0026gt;Analyze and improve design PPA (Power, Performance, Area)\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1007\u0026quot; data-end=\u0026quot;1098\u0026quot;\u0026gt;Collaborate with front-end, PD, and architecture teams to influence early design decisions\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1007\u0026quot; data-end=\u0026quot;1098\u0026quot;\u0026gt;Explore and implement new flows, tools, or RTL experiments to optimize designs\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong data-start=\u0026quot;1349\u0026quot; data-end=\u0026quot;1372\u0026quot;\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li data-start=\u0026quot;1375\u0026quot; data-end=\u0026quot;1442\u0026quot;\u0026gt;End-to-end physical design flow—from RTL handoff to final tapeout\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1375\u0026quot; data-end=\u0026quot;1442\u0026quot;\u0026gt;Deep dive into timing, power, EM/IR, and area trade-offs\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1375\u0026quot; data-end=\u0026quot;1442\u0026quot;\u0026gt;Industry-standard tools and techniques for modern chip development\u0026lt;/li\u0026gt;\n\u0026lt;li data-start=\u0026quot;1375\u0026quot; data-end=\u0026quot;1442\u0026quot;\u0026gt;How top-tier silicon teams operate at scale\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all engineers at Tenstorrent ranges from $50/hr - 70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022994007,"name":"Santa Clara","location":"Santa Clara, California, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/5096351007","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":4612764007,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":5096351007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20231157","title":"Software Engineering Intern, Kernel Optimization (Serbia)","company_name":"Tenstorrent University Jobs","first_published":"2026-04-01T17:18:09-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a \u0026quot;code-to-career\u0026quot; pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;During your internship, you will partner with highly skilled engineers, experience many approaches to problem‑solving, and work on a carefully defined engineering project in relation to convolutions and their optimizations for Tenstorrent hardware, guided by a dedicated mentor. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is onsite, based in our Belgrade office.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Enrolled in the final year of BSc or MSc studies in Computer Science, Computer Engineering, Software Engineering, Electronics, Math, or a related field.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Comfortable with one or more programming languages, including C++ and Python.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You bring a solid foundation in algorithms and data structures and basic familiarity with machine learning frameworks and concepts.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;You are curious about kernel development, low‑level and tensor optimizations, and performance profiling, and want to deepen your skills in these areas.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Contribute to the design, development, and maintenance of Tenstorrent software components connected to our hardware platform, and implement and optimize kernels for convolution‑based operations.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Analyze and optimize low‑level code to improve performance and efficiency with a strong emphasis on tensor optimization, and run performance profiling to identify and address bottlenecks.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Collaborate with machine learning engineers and data scientists to integrate optimized kernels and low‑level routines into machine learning frameworks and pipelines.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Write unit tests, debug kernel‑level code for stability and reliability, and present your project approach, accomplishments, and findings to the team at the end of your internship.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;How to take a well‑scoped engineering project related to convolutions and their optimizations on Tenstorrent hardware from idea to implementation with guidance from a dedicated mentor.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Hands‑on experience building, optimizing, and profiling kernels for convolution‑based operations and tuning low‑level code for performance.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Practical skills integrating optimized kernels and low‑level routines into machine learning frameworks and pipelines, and hardening them through testing and debugging.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;How to communicate technical work clearly by sharing your observations, approach, and results with the broader team.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Hiring Timelines\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Winter Term: Mar–May work term, Nov–Jan recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summer Term: Aug–Oct work term, Jan–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fall Term: Oct–Dec work term, Apr–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Please note these timelines are for reference only. Actual timelines may vary.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;br\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022997007,"name":"Belgrade","location":"Belgrade, Serbia","child_ids":[],"parent_id":4023003007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/5080887007","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":4605848007,"location":{"name":"Belgrade, Serbia"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":["Software"],"value_type":"multi_select"}],"id":5080887007,"updated_at":"2026-05-20T18:35:04-04:00","requisition_id":"20231133","title":"Software Engineer Intern, AI Compiler (Serbia)","company_name":"Tenstorrent University Jobs","first_published":"2026-03-17T08:09:04-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a \u0026quot;code-to-career\u0026quot; pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;As an intern, you will experience how we do engineering for 3-6 months, working on a carefully defined and real engineering project, guided by a dedicated mentor and a manager, and as a part of a team.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is on-site, based in our Belgrade office.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;Who You Are\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested\u0026quot; data-stringify-type=\u0026quot;unordered-list\u0026quot; data-list-tree=\u0026quot;true\u0026quot; data-indent=\u0026quot;0\u0026quot; data-border=\u0026quot;0\u0026quot;\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You are a final-year BSc student or higher in Computer Science, Engineering, Math, or a related technical field.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You have a strong passion for programming and a solid grasp of algorithms and data structures.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You are proficient in programming languages, particularly Python and C++.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;You are passionate about neural networks and related deep-learning architectures.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;What We Need\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested\u0026quot; data-stringify-type=\u0026quot;unordered-list\u0026quot; data-list-tree=\u0026quot;true\u0026quot; data-indent=\u0026quot;0\u0026quot; data-border=\u0026quot;0\u0026quot;\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Design and implement Python/C++ APIs in our SDK for AI/ML developers.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Extend the model-import pipeline to support new operators, tensor shapes, and graph patterns.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Develop compiler passes (e.g., rewriting, tiling, optimization) using an MLIR-based infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Design logic for scheduling and executing compiled neural networks efficiently on our custom AI hardware.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;div class=\u0026quot;p-rich_text_section\u0026quot;\u0026gt;\u0026lt;strong data-stringify-type=\u0026quot;bold\u0026quot;\u0026gt;What You Will Learn\u0026lt;/strong\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;ul class=\u0026quot;p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested\u0026quot; data-stringify-type=\u0026quot;unordered-list\u0026quot; data-list-tree=\u0026quot;true\u0026quot; data-indent=\u0026quot;0\u0026quot; data-border=\u0026quot;0\u0026quot;\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Gain practical experience in ML compiler development and MLIR infrastructure.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Master high-performance programming in C++ and professional API design in Python.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Understand hardware-software co-design principles for low-latency AI execution.\u0026lt;/li\u0026gt;\n\u0026lt;li data-stringify-indent=\u0026quot;0\u0026quot; data-stringify-border=\u0026quot;0\u0026quot;\u0026gt;Develop tools for performance analysis and visualization (e.g., hardware utilization, power consumption).\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Hiring Timelines\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Winter Term: Mar–May work term, Nov–Jan recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Summer Term: Aug–Oct work term, Jan–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Fall Term: Oct–Dec work term, Apr–May recruit.\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;Please note these timelines are for reference only. Actual timelines may vary.\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022997007,"name":"Belgrade","location":"Belgrade, Serbia","child_ids":[],"parent_id":4023003007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4968219007","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":4312649007,"location":{"name":"Austin, Texas, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":null,"value_type":"multi_select"}],"id":4968219007,"updated_at":"2026-05-28T15:00:33-04:00","requisition_id":"20230363","title":"Software Intern - AI Compilers","company_name":"Tenstorrent University Jobs","first_published":"2025-11-04T00:28:57-05:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.  \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is hybrid based in Austin, TX\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop machine learning graph compiler\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in the co-design of Tenstorrent\u0026#39;s hardware and software stack\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent\u0026#39;s hardware and software stack\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop high-performance run-time engine\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate the Tenstorrent software into leading machine learning frameworks\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance \u0026amp;amp; efficiency improvements\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Experience \u0026amp;amp; Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong problem solving and analytical skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022993007,"name":"Austin","location":"Austin, Texas, United States","child_ids":[],"parent_id":4023685007},{"id":4022994007,"name":"Santa Clara","location":"Santa Clara, California, United States","child_ids":[],"parent_id":4023685007}]},{"absolute_url":"https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4501189007","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":4312649007,"location":{"name":"Santa Clara, California, United States"},"metadata":[{"id":20546174007,"name":"Careers Page Tile","value":null,"value_type":"multi_select"}],"id":4501189007,"updated_at":"2026-05-28T15:00:33-04:00","requisition_id":"20230363","title":"Software Intern - AI Compilers","company_name":"Tenstorrent University Jobs","first_published":"2024-08-30T11:35:13-04:00","language":"en","application_deadline":null,"content":"\u0026lt;div class=\u0026quot;content-intro\u0026quot;\u0026gt;\u0026lt;p\u0026gt;Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;\u0026lt;p\u0026gt;At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.  \u0026amp;nbsp;\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;This role is on-site based in Austin, TX; Santa Clara, CA; or Toronto, ON\u0026lt;/p\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Responsibilities:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Develop machine learning graph compiler\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Participate in the co-design of Tenstorrent\u0026#39;s hardware and software stack\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent\u0026#39;s hardware and software stack\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop high-performance run-time engine\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Integrate the Tenstorrent software into leading machine learning frameworks\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance \u0026amp;amp; efficiency improvements\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Experience \u0026amp;amp; Qualifications:\u0026lt;/strong\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;ul\u0026gt;\n\u0026lt;li\u0026gt;Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus\u0026amp;nbsp;\u0026lt;/li\u0026gt;\n\u0026lt;li\u0026gt;Strong problem solving and analytical skills\u0026lt;/li\u0026gt;\n\u0026lt;/ul\u0026gt;\n\u0026lt;div\u0026gt;\u0026amp;nbsp;\u0026lt;/div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;div\u0026gt;\n\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\n\u0026lt;em\u0026gt;Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.\u0026lt;/em\u0026gt;\u0026lt;/div\u0026gt;\n\u0026lt;/div\u0026gt;\u0026lt;div class=\u0026quot;content-conclusion\u0026quot;\u0026gt;\u0026lt;p\u0026gt;\u0026lt;em\u0026gt;This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.\u0026lt;/em\u0026gt;\u0026lt;/p\u0026gt;\u0026lt;/div\u0026gt;","departments":[{"id":4029766007,"name":"University","child_ids":[],"parent_id":null}],"offices":[{"id":4022993007,"name":"Austin","location":"Austin, Texas, United States","child_ids":[],"parent_id":4023685007},{"id":4022994007,"name":"Santa Clara","location":"Santa Clara, California, United States","child_ids":[],"parent_id":4023685007}]}],"meta":{"total":23}}