Senior Power Integrity Methodology CAD Engineer

Reposted 16 Days Ago
Be an Early Applicant
2 Locations
In-Office
168K-311K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop physical design methodologies for rail analysis and signoff, craft workflows for power and noise analysis, and provide creative solutions for IR analysis needed for NVIDIA chips.
Summary Generated by Built In

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 June 27, 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.

Skills Required

  • 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
  • Ability to collaborate across teams with strong interpersonal skills
  • Proficiency in programming and scripting languages, such as TCL, Perl, Python, and C++

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.

  • 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.
  • 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.
  • 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

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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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