Senior Manager, AI Products & Copilot Solutions
New
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NVIDIA
NewPerform advanced AI-driven static timing analysis at chiplet and full-chip levels, using tools like PrimeTime for timing optimization, debug, and signoff. Requires a B.S./M.S. in Electrical Engineering and 5+ years of hands-on STA experience with signoff methodologies. Key skills include PrimeTime, AI tools orientation, and scripting in TCL, Python, or shell. Work collaborates with physical design, RTL, and DFT teams throughout project stages. Location and compensation not specified.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.
What you'll be doing:
Perform advanced AI Static Timing Analysis (STA) for complex chiplet and full chip level.
AI use for timing optimization and data analysis in STA and PnR.
Running and build STA tools for anlyaze and debug timing.
Use traditional STA tools like Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation.
Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages.
Responsible for a full timing closer and quality approval from pre-layout STA model through signoff.
What we need to see:
B.SC./ M.SC. in Electrical Engineering.
At least 5+ years of hands-on STA experience.
Experience in Prime Time and signoff methodologies.
A great teammate who thrives in a collaborative environment.
AI tools orientation or alternatively a desire to learn.
Ways to stand out from the crowd:
Agentic Frameworks.
AI prompting experience.
Experience in Linux environments.
TCL, Python, shell scripting abilities.
Experience with data collection and analysis.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best physical design team in the industry!
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
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