NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
We are now looking for a motivated Senior ASIC Physical Design Engineer, Netlisting to join our dynamic and growing team. If you want to challenge yourself and be a part of something great, join us today! NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing! More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.
What you'll be doing:
You will drive physical design of high-frequency and low-power CPUs, GPUs, SoCs at block level, cluster level, and/or full chip level, with a focus on netlist-related aspects such as equivalence checking, asynchronous checking including clock domain crossing checks and MTBF analysis, logic synthesis, netlist quality checks, etc.
Help in all aspects of physical design, such as driving timing convergence, timing constraints generation and management, and ECO generation and implementation.
What we need to see:
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 required from RTL to tapeout with industry-standard tools. Deep understanding of hardware architecture and hands-on skills in RTL/logic design for timing closure.
Experience in clock-domain-crossing checking, MTBF analysis, either with industry-standard tools or in-house tools.
Background with logic synthesis at either block or full-chip level, at project execution and/or flow development.
Strong experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence.
Expertise and in-depth knowledge of industry standard EDA tools in related fields.
Proficiency in programming and scripting languages, such as, Perl, TCL, Make, Python, etc.
Ways to stand out from the crowd:
Experience in logic synthesis and equivalence checking/FV. Familiarity with industry tools and flow.
Strong hands-on debugging capability and problem-solving skills.
Background in DFT timing closure for various modes e.g. scan shift and capture, transition faults, BIST, etc.
Candidates who demonstrate experience or a strong drive to improve workflows and productivity through effective AI utilization will stand out.
NVIDIA is widely considered to be the leader of AI computing, and one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS in Electrical or Computer Engineering with 5+ years experience, or MS with 3+ years experience.
- Expertise in logic equivalence checking and formal verification (RTL to tapeout) with industry-standard tools.
- Experience in clock-domain-crossing checking and MTBF analysis using industry or in-house tools.
- Background in logic synthesis at block or full-chip level (project execution and/or flow development).
- Strong experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation/management, and timing convergence.
- In-depth knowledge of industry-standard EDA tools in physical design-related fields.
- Proficiency in programming/scripting languages such as Perl, TCL, Make, Python.
- Strong hands-on debugging and problem-solving skills.
- Experience with DFT timing closure for scan shift/capture, transition faults, BIST, etc.
- Experience or demonstrated interest in improving workflows using AI.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
