NVIDIA
Senior Silicon Product Definition Engineer
$168K–$310K
US, CA, Santa Clara · Senior · Full-time · Posted Sep 23, 2026
- Experience
- 8+ years in silicon product definition, post-silicon characterization, product engineering, or performance and power analysis for GPU, CPU, SoC, or other complex silicon products.
- Education
- BS or MS in Electrical Engineering, Computer Engineering, Systems Engineering, or related field (or equivalent experience).
About the job
Defines silicon product configurations and drives performance, power, yield, and quality optimization from bring-up through production.
What you'll do
- Analyze silicon data and product trade-offs; identify opportunities, risks, and limiting constraints.
- Drive product-specific fixes across silicon, firmware, BIOS, drivers, and platforms, including BIOS-level VF settings.
- Lead cross-functional root-cause closure and build statistical models, automation, and visualization workflows.
What they ask for
- BS or MS in Electrical Engineering, Computer Engineering, Systems Engineering, or related field (or equivalent experience).
- Hands-on silicon bring-up and performance-per-watt analysis, including optimization across process, voltage, and temperature conditions.
- Strong programming and data-analysis skills using Python and one or more of Perl, JMP, SQL, or equivalent tools; practical statistics and large-dataset skills.
- Strong foundation in digital design, circuit analysis, computer architecture, critical-path analysis, process technology, and transistor/device physics.
Nice to have
- Track record defining and shipping product configurations that measurably improve product outcomes.
- Experience with advanced process nodes, complex silicon products, reusable product-definition methods, or AI productivity tools.
Pay
168,000 USD - 264,500 USD base salary (Level 4); 196,000 USD - 310,500 USD base salary (Level 5)
Tools
Python, Perl, JMP, SQL, Claude, Copilot, ChatGPT
AI focus
Uses AI productivity tools to accelerate analysis, debug, drafting, and decision-making workflows, with appropriate guardrails; AI use is a preferred qualification.
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