NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Join NVIDIA and become part of a team advancing the frontiers of AI technology! As we lead innovation in AI and accelerated computing, we seek a Senior Physical Design Engineer to contribute to our outstanding progress in chip design. At NVIDIA, you’ll collaborate with extraordinary talent and thrive in an environment that values diversity, collaboration, and remarkable accomplishments.
What you'll be doing:
In the role of a Senior Physical Design Engineer, you will play a crucial role in our innovative LPU chip design.
Full-Flow Ownership: Responsible for Synthesis, floorplanning, place & route, timing constraints, UPF and LEC at the block/partition level and top level.
Cross-Functional Optimization: Partner with IP, Front-End logic design and Architecture teams to streamline IP integration, drive PPA (Power, Performance, Area) optimizations, resolving architectural bottlenecks to enable efficient physical implementation.
Tapeout Execution: Lead design closure in collaboration with IP, PnR, Sign-off teams, ensuring 100% verification compliance for successful GDSII handoff and tapeout.
Methodology Innovation: Architect data-driven EDA flows and methodologies in collaboration with CAD teams, implementing automated enhancements that measurably improve PPA and design cycle efficiency.
What we need to see:
B.S. in Electrical/Computer Engineering or equivalent experience (M.S./Ph.D. preferred) with 5+ years of industry experience delivering full-flow physical design for large-scale, high-performance SoCs at advanced process nodes.
Full-Flow Execution: Proven track record of driving designs through the complete RTL-to-GDSII flow, including synthesis, placement, CTS, routing, extraction, and physical/electrical verification.
Low-Power Expertise: Deep understanding of low-power design intent (UPF/CPF), formal equivalency checks (LEC), and rule verification for complex multi-voltage domain architectures.
Clock & Timing Mastery: Expert-level proficiency in advanced CTS methodologies, clock tree synthesis, and sign-off timing analysis (MCMM STA) using complex constraints.
PPA Optimization: Demonstrated ability to implement aggressive power, performance and area optimization techniques, and identify reduction opportunities across the entire physical design cycle.
Sign-off & Integrity: Strong command of power grid design, EMIR analysis, and ECO generation to ensure robust silicon integrity and timing closure.
DFT & Block-Level Integration: Skilled in employing best-known methods to optimize and handle DFT structures within block-level physical design implementations.
EDA Tool Proficiency: Expert-level command of industry-standard tool suites for end-to-end physical design flows.
Automation & Innovation: Proficient in scripting (TCL, Python, Perl) to automate flows, with a forward-looking ability to integrate AI-driven optimizations for enhanced design efficiency.
High-Speed IP Integration: Specialized experience in the physical design of blocks and partitions containing high-speed SerDes IPs, such as PCIe, CXL, C2C, and Die-to-Die interfaces a plus.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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 a diverse 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.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.”
