NVIDIA is looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
What you'll be doing:
You will be in charge of developing full-chip physical design methodologies, Physical Verification development and support through all the projects, Tapeout activities for implementation of networking chips and SOCs.
Work closely with Full Chip Layout owners and block owners, project managers to assure high quality and timely convergence.
Come up with unique and creative solutions to the state of the art FCL physical design problems that are needed for our chips.
We expect you to run, debug, and approve Physical Verification flows across multiple projects, ensuring strict adherence to our high standards.
Participating and developing flow and tool methodologies for fullchip, physical design verification across multiple projects.
What we need to see:
B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience).
You should have at least 5+ years of hands-on Full-chip layout and Physical Verification experience, demonstrating your proven expertise.
A strong background in Physical Verification methodology, including DRC / LVS / ANT / ERC / DFM in advanced process nodes is necessary.
Proficiency using Python, Tcl, Shell, Make scripting.
Experience in Linux environments.
AI tools orientation or alternatively a desire to learn.
Familiarity with physical build EDA tools, including Synopsys (ICC2/FC) and Cadence (Innovus).
Familiarity with Physical Verification tools: Synopsys (ICV), Siemens (Calibre)
Self-motivation, attention to detail, and good interpersonal skills.
Ways to stand out from the crowd:
Experience with data collection and analysis
Experience in methodology definition / flow owner of Full-chip / Place and Route
Great teammate.
Ownership, self-learning skills, and ability to work autonomously.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!
Skills Required
- B.Sc. or M.Sc. in Electrical Engineering or Computer Engineering (or equivalent experience)
- 5+ years hands-on full-chip layout and physical verification experience
- Deep knowledge of physical verification methodology including DRC, LVS, ANT, ERC, and DFM for advanced process nodes
- Proficiency in Python, Tcl, Shell, and Make scripting
- Experience working in Linux environments
- Familiarity with physical build/place-and-route EDA tools (Synopsys ICC2/FC, Cadence Innovus)
- Familiarity with physical verification tools (Synopsys ICV, Siemens Calibre)
- Self-motivation, attention to detail, and strong interpersonal skills
- AI tools orientation or willingness to learn
- Experience with data collection and analysis
- Experience defining methodology or acting as flow owner for full-chip/place-and-route flows
- Demonstrated ownership, ability to work autonomously, and strong teamwork
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.”
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