NVIDIA is seeking passionate, highly motivated, and creative design engineers to be part of a team working on industry-leading GPUs and SOCs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of exceptional people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing.
What you’ll be doing:
- In this position, you'll own physical verification for the full chip — taking designs from block-level assembly through full-chip integration and tapeout on the latest process nodes like TSMC A16 and TSMC 3nm.
- Own full-chip physical verification signoff — DRC, LVS, antenna — across block, partition, and top levels, and drive convergence to a clean tapeout database.
- Push the frontier of 3D die stacking and heterogeneous integration — verifying die-to-die interfaces and stitching together dies built on entirely different process nodes into a single working system.
- Be at the leading edge of Angstrom class technology, enabling signoff for breakthroughs like Super Power Rail backside power delivery and nanosheet GAA transistors.
- Reinvent how signoff is done with AI — building ML- and LLM-powered automation for root-cause analysis, and flow optimization.
- Partner with the methodology and CAD/technology groups to define and deploy correct-by-construction flows that catch issues early and reduce signoff iterations.
- Cross-functional collaboration with P&R, Timing, IR, Library team to drive design closure on time.
What we need to see:
- BE/BTECH/MTECH, or equivalent, with 5+ years of experience in Physical Design Verification, full chip integration and tapeouts on the latest technology nodes.
- Strong understanding of Physical Implementation and VLSI design concepts.
- Expertise in signoff tools like Calibre, ICV, EDI, FC.
- Good understanding of the RTL2GDSII concepts related to synthesis, place & route, CTS, timing convergence, layout closure.
- Good problem-solving skills.
Skills Required
- BE, BTECH, MTECH, or equivalent degree
- 5+ years of experience in physical design verification, full-chip integration, and tapeouts on advanced technology nodes
- Strong understanding of physical implementation and VLSI design concepts
- Expertise with signoff tools including Calibre, ICV, EDI, and FC
- Understanding of RTL-to-GDSII concepts, including synthesis, place and route, CTS, timing convergence, and layout closure
- Good problem-solving skills
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.”
