Staff Technical Program Manager, AI Systems and IP Delivery
TensTorrent - North America
Posted Apr 17, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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Where they hire
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About this role
Staff Technical Program Manager, AI Systems and IP Delivery North America 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 building next-generation AI compute across hardware and software. This role focuses on delivering AI model IP and the supporting software stack into real customer environments, ensuring performance, correctness, and deployability at scale. This role is hybrid, based out of Austin, TX; Santa Clara, CA; or Toronto, ON. 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 - Technical integration expert with experience in AI infrastructure, compilers, semiconductors, or systems spanning those domains. - Proven track record delivering functional IP such as hardware and software into customer environments. Escalation and de-escalation of customer needs. - Systems thinker who can map customer requirements across models, serving stacks, performance targets, and hardware configurations to current platform
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