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.
We are now looking for a motivated Senior Physical Design and Timing Engineer 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:
Drive physical design and timing of high-frequency and low-power NVIDIA CPUs, GPUs, LPUs and SoCs at block level, cluster level, and/or full chip level.
Help in driving frontend and backend implementation from RTL to gds2, including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation.
Work in a cross-functional environment interacting with multiple teams.
What we need to see:
BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years of experience, or MS (or equivalent experience) with 3+ years of experience in physical design, synthesis, and timing.
Strong hands-on experience taking complex blocks, IPs, or chips from RTL/netlist to tapeout through logic synthesis, floorplanning, placement, clock-tree synthesis, routing, physical optimization, signoff, and ECOs.
Demonstrated success improving power, performance, and area through design improvements, critical-path planning and crafting, or methodology/workflow improvements.
Hands-on experience in block, sub-chip, and full-chip level Static Timing Analysis, timing-constraint development, and multi-mode, multi-corner timing closure factoring in process variations, IR drop, and Xtalk.
Expertise and in-depth knowledge of industry-standard EDA tools.
Proficiency in Python, Tcl, Perl, Make, or similar scripting languages as well as AI/ML/DL/LLMs.
Ways to stand out from the crowd:
Physical design experience on high-performance CPUs, GPUs, LPUs, or AI accelerator designs.
Expertise or innovation in advanced physical design & circuits optimizations, clocking, or timing-closure strategies.
Experience in developing scalable optimization and signoff solutions through automation or AI/Agentic framework.
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.
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/
#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 in Synthesis and Timing
- Solid experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence
- Experience in critical path planning and crafting
- Hands-on experience in logic synthesis and equivalence checking/formal verification
- Understanding of hardware architecture and hands-on RTL/logic design skills for timing closure
- Expertise in physical design and optimization (placement, routing, cell sizing, buffering, logic restructuring) and ECO implementation
- Understanding of DFT logic and hands-on experience in design closure
- Expertise in analyzing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes
- Knowledge of process variation effect modeling and experience in design convergence accounting for variations
- Expertise and in-depth knowledge of industry standard EDA tools
- Proficiency in programming and scripting languages such as Perl, Tcl, Make, Python
- Background in high-performance design (CPU, GPU, LPU)
- Experience with DFT timing closure for various modes (scan shift/capture, transition faults, BIST)
- Experience in methodology and/or flow development and automation
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.”
