Staff Technical Program Manager, AI Systems and Ip Delivery

Tenstorrent Tenstorrent · Semiconductors · NORTH AMERICA · AI Hardware

Staff Technical Program Manager responsible for end-to-end delivery of AI model IP and supporting software (compiler outputs, runtime libraries, model artifacts, hardware collateral) into customer environments. This role involves defining release criteria, aligning cross-functional teams (hardware, compiler, runtime, kernel, legal), identifying and mitigating integration risks, and providing leadership visibility on deployment status. The role bridges customer requirements with engineering realities, focusing on AI systems and IP delivery at scale.

What you'd actually do

  1. Own end-to-end delivery of AI model IP and supporting software including compiler outputs, runtime libraries, model artifacts, and hardware collateral.
  2. Define and enforce release criteria covering correctness, performance, and customer-specific requirements.
  3. Align hardware, compiler, runtime, kernel, and legal teams to ensure deliverables are technically sound, compliant, and deployable.
  4. Identify integration risks including toolchain gaps, performance issues, and system mismatches and drive mitigation strategies.
  5. Provide clear visibility to leadership on deployment status and translate customer needs into actionable roadmap priorities.

Skills

Required

  • Technical integration expertise in AI infrastructure, compilers, semiconductors, or systems
  • Proven track record delivering functional IP into customer environments
  • Systems thinking to map customer requirements to platform capabilities
  • Communication skills to bridge customer needs with engineering reality
  • Program management in fast-moving environments with evolving hardware and software

Nice to have

  • Experience with RISC-V CPU
  • Experience with AI accelerators

What the JD emphasized

  • delivering functional IP such as hardware and software into customer environments
  • customer requirements
  • customer needs

Other signals

  • delivering AI model IP
  • customer environments
  • performance, correctness, and deployability at scale