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Active7mo ago

Technical Program Manager, Architecture

Tenstorrent·📍 Santa Clara, California, United States

Employment

Full-Time

Work mode

On-site

Experience

10+ years

Salary

$145,747–$218,500 / year · Jobiba est.

Market pay estimate

$145,747–$218,500 / year for comparable Program Manager roles in United States. Estimated from 652 similar postings (high confidence) — not stated by the employer.

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Role overview

Job description

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. 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 has built advanced compute architectures from the ground up and shares a passion for AI with a deep desire to build the best platforms possible. We value collaboration, curiosity, and a commitment to solving hard problems. The Technical Program Manager will drive the end-to-end execution of next-generation SoCs, from early architecture through RTL, verification, DFT, physical design, tape-out, and post-silicon validation. This role requires strong technical depth in silicon development alongside program management expertise to ensure successful delivery of complex, cross-functional projects. This role is hybrid, based out of Santa Clara, CA. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Comfortable operating at the intersection of technology, execution, and business. Skilled at breaking down complexity into clear goals and deliverables. A strong communicator who ensures alignment across technical and non-technical teams. Proactive, adaptable, and capable of thriving in ambiguity. Driven by impact and motivated to shape the future of silicon and AI platforms. What We Need Bachelor’s or Master’s degree in Electrical/Computer Engineering or related field. 10+ years of semiconductor experience (CPU, Physical Design, RTL, Design Verification, or Program Management). Strong understanding of chip architecture, design flows, and system-level tradeoffs. Familiarity with industry standards across compute and SoC (e.g., ARM, RISC-V, AI accelerators, interconnect protocols). Experience leading large, cross-functional engineering teams and managing dependencies. Proficiency with project management tools (e.g., JIRA, Confluence) and structured reporting. What You Will Learn How advanced SoC programs integrate CPUs, accelerators, interconnect, and memory subsystems. The balance of technical tradeoffs across power, performance, area, and time-to-market. Best practices for coordinating hardware, software, and system teams on high-stakes projects. Insights into emerging technologies in AI compute, networking, and silicon platforms. How to manage execution across multiple global teams in a fast-moving environment. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. 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.

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About this listing

  • Source: Tenstorrent's official careers site · still listed there on 9 Nov 2026
  • Posted 23 Mar 2026

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Role market pulse

How Program Manager demand looks in United States

75/100 · rising

Live jobs

877

Posted 30d

683

30d movement

+563.1%

Remote share

19.8%

Salary listed

75.8%

Salary trend 1Y

Not enough history

What they are looking for

Skills & requirements

Qualification

What We Need Bachelor’s or Master’s degree in Electrical/Computer Engineering or related field; 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

Department · Architecture: TPM

Hiring company

Tenstorrent

Technology

Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers.

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