Senior ASIC Power Integrity Engineer

Posted 14 Days Ago
Be an Early Applicant
Westford, MA
136K-265K
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior ASIC Power Integrity Engineer at NVIDIA, you'll optimize power delivery in design, perform analyses, and collaborate with teams on network product development.
Summary Generated by Built In

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 solve, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence.

NVIDIA is seeking an outstanding Senior ASIC Power Integrity Engineer who is dedicated to collaborating closely with our teams in the USA, Israel, and India. As a valued member of our team, you will contribute to the development of our networking product line, from concept to tapeout. If you are hardworking and thrive on challenges, join us and make a significant impact!

What you'll be doing:

  • Ensuring robust power integrity in physical design to optimize power delivery.

  • Design and optimize physical design solutions for power integrity.

  • Perform power integrity analysis and mitigation.

  • Serve as the focal point for PI for partition owners.

  • Collaborate with hardware and design teams on power delivery strategies.

  • Apply tools and flow in advanced technology to achieve project development goals.

What we need to see:

  • BSEE / MSEE or equivalent experience.

  • Must have 5+ years of experience in power integrity engineering. Should have proven experience in analyzing, mitigating, and optimizing power integrity, specifically in high-performance computing or networking hardware.

  • Proficiency with industry-standard PI tools: Hands-on experience with tools such as Cadence, Ansys, or other EM simulation tools, including power delivery network (PDN) analysis and design.

  • Ability to collaborate across teams: Strong communication and teamwork skills, with a track record of working closely with hardware and design teams to implement power delivery strategies.

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

  • To be successful, you should possess strong analytical and debugging skills.

  • Proficiency using Python, Perl, Tcl, Make scripting is helpful.

  • Great teammate.

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.

The base salary range is 136,000 USD - 264,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.

Top Skills

Ansys
Cadence
Perl
Python
Tcl
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
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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