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