Senior Power Integrity Methodology CAD Engineer

Sorry, this job was removed at 12:07 a.m. (CST) on Friday, Mar 27, 2026
Be an Early Applicant
2 Locations
In-Office
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

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 Senior Power Integrity Methodology CAD Engineer.

What you'll be doing:

  • Developing physical design methodologies for rail analysis and signoff.

  • Responsible for coming up with unique and creative solutions for pioneering IR analysis and signoff that are needed for NVIDIA chips.

  • Crafting workflows and tool methodologies for power and noise analysis across multiple projects.

What we need to see:

  • Master's degree or equivalent experience in Electrical Engineering or related field.

  • Minimum 5+ years of experience in EMIR flow methodology development and support.

  • Strong understanding of all aspects of EMIR analysis and signoff.

  • Familiar with hierarchical design approach and hierarchical signoff.

  • Experience with shift-left methodologies for EMIR optimization and convergence earlier in the chip build cycle.

  • Ability to collaborate across teams: Strong interpersonal, communication and teamwork skills, with a track record of working closely with hardware and design teams to facilitate EMIR signoff

  • Proficiency in programming and scripting languages, such as TCL, Perl, Python, and C++.

Ways to stand out from the crowd:

  • Experience in crafting custom workflows from scratch.

  • Adaptability and problem-solving skills: Ability to thrive in a dynamic, fast-paced environment where quick thinking and creative solutions are often required.

  • Experience using AI tools to improve capabilities in the power integrity domain, such as automating analysis and improving tool/flow features

NVIDIA is widely considered to be one of the technology world’s most desirable employers. And due to outstanding growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 13, 2026.

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.

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

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.”

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