NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
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 will expected to be part of the physical design methodology team. PD activities includes floor plans, abstract view generation, RC extraction, PNR, STA, EMIR DROP, DRCs & schematic to layout verification.
Work in collaboration with design team for addressing design challenges. Help team members in debugging tool/design related issues. Constantly look for improvement in RTL2GDS flow to improve PPA. Troubleshoots a wide variety up to and including difficult design issues and applied proactive intervention.
Write scripts (TCL/Python) to help design teams move forward with their design and chip goals
Build flows based on industry standard EDA tools to implement designs efficiently and improve PPA. Support flows for chip design teams across tapeouts and tech nodes.
What we need to see:
BE/BTECH/MTECH, or equivalent experience.
3+ years of experience in Physical Design, preferably with methodology/flow experience.
Strong understanding in the RTL2GDSII flow or design implementation in leading process technologies. Good understanding of the RTL2GDSIl concepts related to synthesis, place & route, CTS, timing convergence, layout closure.
Expertise on high frequency design methodologies. Good knowledge and experience in Block-level and Full-chip Floor-planning and Physical verification.
Working experience with tools like ICC2/Innovus, Primetime/Tempus/Seahawk etc used in the RTL2GDSIl implementation.Strong knowledge and experience in standard place and route flows
ICC2/Synopsys and Innovus/Cadence flows preferred. Well versed with timing constraints, STA, IR and ECO timing closure.Strong algorithmic thinking with good automation skills in PERL, TCL, tool specific scripting on one of the industry leading Place & Route tools. Python will be helpful too.
Ability to multi-task and flexibility to work in global environment.
Good communication skills and strong motivation, Strong analytical & Problem Solving skills
Willingness to learn and master new techniques quickly
Innovate and drive changes across teams & workflows
#LI-Hybrid
Skills Required
- BE, BTech, MTech, or equivalent experience
- 3+ years of physical design experience
- Experience with physical design methodology or flow development
- Strong understanding of RTL2GDSII or design implementation in leading process technologies
- Knowledge of synthesis, place and route, clock tree synthesis, timing convergence, and layout closure
- Experience with high-frequency design methodologies
- Block-level and full-chip floorplanning and physical verification experience
- Experience with ICC2, Innovus, PrimeTime, Tempus, Seahawk, or comparable EDA tools
- Knowledge of standard place-and-route flows, timing constraints, static timing analysis, IR analysis, and ECO timing closure
- Automation and scripting skills in Perl, TCL, or tool-specific place-and-route scripting
- Python scripting experience
- Ability to multitask and work in a global environment
- Strong communication, analytical, and problem-solving skills
- Willingness to learn new techniques quickly and drive workflow improvements
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.”
