NVIDIA
Technical Product Manager - CPU Hardware Program
$168K–$328K
US, CA, Santa Clara · Manager · Full-time · Posted Oct 15, 2026
- Experience
- 8+ years; applicable fields include technical program management, systems engineering, hardware program management, or a comparable role.
- Education
- BS or MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related area, or equivalent experience.
About the job
Leads cross-functional CPU silicon and platform programs from development through customer readiness, coordinating plans, risks, decisions, and commitments.
What you'll do
- Coordinate dependencies and delivery across CPU silicon, platform, firmware, validation, performance, operations, and product teams.
- Identify risks and technical trade-offs; bring stakeholders together to make timely decisions.
- Develop program plans, decision records, risk assessments, dashboards, and customer and executive updates.
What they ask for
- 8+ years of experience in technical program management, systems engineering, hardware program management, or a comparable role leading complex hardware and software products.
- BS or MS in Computer Science, Electrical Engineering, Computer Engineering, or a related area, or equivalent experience.
- Working knowledge of server or silicon development and dependencies across CPU, memory, I/O, firmware, board, system, validation, and manufacturing.
- Experience building and driving coordinated technical programs across engineering and customer-facing teams.
Nice to have
- Experience delivering server CPUs, accelerated computing platforms, rack-scale systems, or complex silicon programs.
- Experience with silicon bring-up, platform qualification, OEM/ODM execution, firmware, validation, or production readiness.
Pay
168,000 USD - 258,750 USD base salary (Level 4); 208,000 USD - 327,750 USD base salary (Level 5)
Tools
CPU, memory, I/O, firmware, board, system, validation, manufacturing
AI focus
The role develops CPU silicon and platforms for AI and data center infrastructure. NVIDIA uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative