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 Processor Physical Design 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 Implementation for Nvidia’s GPUs, CPUs, and LPUs at block level, cluster level, and full chip level.
Lead Timing closure and PPA convergence of complex IPs by analyzing RTL/Design, evaluating critical datapaths, and developing and implementing innovative solutions to improve QoR and adopting AI/Automation.
Collaborate with Cross-Functional Teams to synthesize and optimize designs, devise timing closure strategies, create timing constraints, and drive timing, area, and power convergence
What we need to see:
BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years experience or MS (or equivalent experience) with 2+ years’ experience in Synthesis and Timing
Hands on experience in building Synthesis recipe for best QOR with good correlation to P&R
Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA) and timing convergence, timing constraints generation and management.
Expertise in analysis and timing closure through ECOs including crosstalk and noise analysis
Expertise in physical design and optimization e.g., placement, routing, logic restructuring, etc. to improve timing and power.
Expertise and in-depth knowledge of industry standard STA and timing convergence tools.
Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging timing in these nodes.
Ways to stand out from the crowd:
Background in logic synthesis and equivalence checking/FV.
Background in domain specific STA and timing convergence, such as GPUs, CPUs, LPUs, Accelerators or SOCs
Understanding DFT logic and experience with DFT timing closure for various modes e.g., scan, BIST, etc.
Experience in methodology and/or flow development as well as automation using AI/LLM.
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.Similar Jobs
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.”
