Drimva

Meta

Technical Program Manager, Silicon

$168K–$234K

Sunnyvale, CA · Manager · Full-time · Posted Sep 2, 2026

Experience
10+ years; accepted fields include silicon development, hardware engineering, or technical product/program management with an emphasis on chip development and tape-out programs.
Education
B.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent experience.

About the job

Leads silicon development programs from concept through production, coordinating engineering and cross-functional teams across design, verification, manufacturing, tape-out, and validation.

What you'll do

  • Drive large-scale silicon workstreams, interdependencies, schedules, risks, and milestones across organizations.
  • Coordinate technical analysis and engineering deliverables across silicon design, verification, tape-out, and post-silicon validation.
  • Influence program strategy, resolve execution issues, and communicate readiness and risks to stakeholders and leadership.

What they ask for

  • 10+ years of experience in silicon development, hardware engineering, or technical product/program management, emphasizing chip development and tape-out programs.
  • Proven experience delivering complex silicon programs and/or products from inception to production.
  • B.S. in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field, or equivalent experience.
  • Demonstrated ability to integrate AI tools into workflows and develop AI skills, with responsible and ethical AI practices.

Nice to have

  • Familiarity with semiconductor manufacturing processes and foundry relationships; experience managing external partners or vendors.
  • Experience with ASIC/SoC development, RTL design, verification methodologies, physical design flows, PPA trade-offs, or hardware/software co-development.

Pay

$168,000/year to $234,000/year (base salary) + bonus + equity

Tools

ASIC/SoC, RTL, AI

AI focus

Integrate AI tools to optimize or redesign workflows and deliver measurable impact; continue developing AI skills such as prompt/context engineering and agent orchestration, while applying responsible AI practices.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)