Senior Power Integrity Engineer

Posted 2 Days Ago
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Santa Clara, CA
7+ Years Experience
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Senior Power Integrity Engineer at NVIDIA will focus on optimizing power delivery networks through lab measurements and analysis. Responsibilities include performing power integrity measurements, leading post-silicon validation activities, diagnosing power-related issues, documenting processes, collaborating with cross-functional teams, and mentoring junior engineers.
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 that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!

Working the Silicon Solutions Engineering Team at NVIDIA, you will be responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions. The qualified candidate should be comfortable in a lab environment and should demonstrate a passion towards creation, execution and improvement of silicon validation plans.

We are seeking a Senior Power Integrity Engineer to join our team. This role will focus on ensuring the optimal performance of power delivery networks for high-performance systems through simulation, analysis, and lab measurements. The ideal candidate will possess in-depth knowledge of power integrity (PI) principles and hands-on experience conducting lab measurements of power delivery systems.

What you will be doing:

  • Power Integrity Measurements: Perform in-depth lab measurements of power delivery systems, including impedance, noise, ripple, and transient responses, using oscilloscopes, vector network analyzers (VNA), spectrum analyzers, and other test equipment.

  • Analysis and Optimization: Analyze power delivery performance and recommend optimizations to ensure stable power distribution and minimal noise in high-performance systems.

  • Post-Silicon Validation: Lead post-silicon validation activities to verify and debug power-related issues in the lab, correlating measurements with simulation models.

  • Root Cause Analysis: Diagnose and resolve power integrity issues on the system, using both measurements and simulations to identify root causes.

  • Documentation: Document lab measurement procedures, test setups, and results to communicate findings and design improvements effectively.

  • Team Collaboration: Drive debug meeting and work closely with cross-functional teams s to address system-level power integrity challenges.

  • Mentorship: Mentor junior engineers in PI fundamentals, measurement techniques, and best practices in power delivery design.

What we need to see:

  • Education: Bachelor’s or Master’s degree in Electrical Engineering or a related field.

  • Experience: 8+ years of experience in power integrity engineering, with a focus on lab measurement of power delivery networks.

  • Technical Skills:

  • Expertise in power integrity measurements, including impedance measurements, power noise analysis, and transient response evaluation.

  • Proficiency in using lab instruments such as oscilloscopes, probes, VNAs, spectrum analyzers, and power analyzers.

  • Strong understanding of signal integrity (SI) and its interactions with PI.

  • Experience with PCB design and layout considerations related to power distribution.

  • Familiarity with industry-standard simulation and modeling tools (SPICE, Sigrity, HFSS, or equivalent).

  • Soft Skills:

  • Strong analytical and problem-solving abilities.

  • Excellent communication skills, with the ability to explain complex technical issues to both technical and non-technical audiences.

  • Ability to work both independently and in a team environment.

  • Experience mentoring junior engineers is a plus.


Ways to stand out from the crowd:

  • Experience in power integrity for high-frequency or high-performance computing systems.

  • Knowledge of power delivery systems for various technologies (e.g., FPGAs, GPUs, ASICs).

  • Familiarity with thermal management and its impact on power integrity.

Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphics company, we have evolved into a global leader in artificial intelligence, continuously pushing the boundaries to tackle sophisticated challenges across diverse industries.

#LI-Hybrid

The base salary range is 164,000 USD - 304,750 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

Electrical Engineering
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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