NVIDIA
Senior ASIC Physical Design Engineer, Netlisting
$136K–$264K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Sep 17, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin - Experience
- 5+ years with a BS, or 3+ years with an MS; equivalent experience is stated for both degree alternatives.
- Education
- BS or equivalent experience, or MS or equivalent experience, in Electrical or Computer Engineering.
About the job
Drives ASIC physical design for CPUs, GPUs, and SoCs, focusing on netlist quality, equivalence and asynchronous checks, synthesis, timing convergence, and ECO implementation.
What you'll do
- Lead block-, cluster-, or full-chip physical design, including equivalence checking, CDC checks, MTBF analysis, logic synthesis, and netlist quality checks.
- Support physical design by driving timing convergence, generating and managing timing constraints, and generating and implementing ECOs.
What they ask for
- BS or equivalent experience in Electrical or Computer Engineering with 5+ years’ experience, or MS or equivalent experience with 3+ years’ experience.
- Expertise in logic equivalence checking/FV from RTL to tapeout; understanding of hardware architecture and hands-on RTL/logic design for timing closure.
- Experience with clock-domain-crossing checks and MTBF analysis; logic synthesis at block or full-chip level.
- Strong experience in full-chip/sub-chip STA, timing constraints and timing convergence; expertise with industry-standard EDA tools and proficiency in programming/scripting languages.
Nice to have
- Background in DFT timing closure for modes such as scan shift and capture, transition faults, and BIST.
- Experience or strong drive to improve workflows and productivity through effective AI utilization.
Pay
136,000 USD - 218,500 USD base salary (Level 3); 168,000 USD - 264,500 USD base salary (Level 4)
Tools
Perl, TCL, Make, Python, EDA tools
AI focus
Candidates with experience or a strong drive to improve workflows and productivity through effective AI utilization stand out. NVIDIA uses AI tools in recruiting.
Model-written summary · the original posting is authoritative