Job description

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. NVIDIA is looking for best-in-class ML/AI Physical Design Methodology Engineer 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 part in crafting our groundbreaking and innovative chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • Architect, integrate, and deploy AI/ML-driven solutions into production physical design flows • Key responsibility includes developing unique and creative solutions to the state-of-the-art physical design problems to improve PPA • Knowledge and experience to formulate and develop with ML-based solutions • Participate in developing flow and tool methodologies for P&R, timing analysis and closure, convergence in IR/Signal-EM, power and noise analysis and back-end verification across multiple projects along with chip floorplan, power and clock distribution, chip assembly. • Data based analysis and algorithmic solutions for PPA check and improvement. What we need to see: • MS in Electrical, Computer Engineering, computer science (or equivalent experience) • 5+ years’ experience in ML/AI based solution development • Experience and ability to form and automate workflow • Strong Python and Tcl programming skills with familiarity in ML frameworks • Proven implementation of ML-based solutions • Exposure of Physical Design workflows 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/ 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 . Applications for this job will be accepted at least until October 17, 2026. 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.

Requirements

Must-haves

Architect, integrate, and deploy AI/ML-driven solutions into production physical design flows
Key responsibility includes developing unique and creative solutions to the state-of-the-art physical design problems to improve PPA
Knowledge and experience to formulate and develop with ML-based solutions
Data based analysis and algorithmic solutions for PPA check and improvement.
MS in Electrical, Computer Engineering, computer science (or equivalent experience)
5+ years’ experience in ML/AI based solution development
Experience and ability to form and automate workflow
Strong Python and Tcl programming skills with familiarity in ML frameworks
Proven implementation of ML-based solutions
Exposure of Physical Design workflows
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aimlpython

Platform: eightfold
Effort: medium

Benefits

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