We are now looking for Senior Signal & Power Integrity Engineer. 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. This is a dynamic team working with state of the art, unique technology. If you are someone that loves a challenge, come join this diverse team and help move the needle!
What you'll be doing:
Drive board/system level signal and power integrity requirements
Lead board/system SI/PI design activities, including PCB stackup/material selection, design guide implementation, layout review, and post-layout analysis
Work closely with Architecture, ASIC, Mixed Signal, Package, and PCB Design teams to design and ensure system SI/PI performance meets expectation before Gerber out, also work closely with Design Validation teams to support SI/PI failure analysis
Develop novel algorithms & new methodologies to improve SI/PI modeling efforts
Work with Application Engineering teams to support customers w/ SI/PI questions
VNA & TDR measurements to support model correlation efforts and improve confidence in design stage
What we need to see:
MS/BS in EE or equivalent experience
Minimum 3+ years of experience as a SI/PI engineer
Deep understanding of electromagnetics, specifically electromagnetic waves including transmission line theory and via properties
Proficient with HFSS, Sigrity, Hspice, and/or other simulation tools
Experienced with Cadence Allegro PCB designer and Constraints Manager
Understanding of high volume manufacturing variations and impact to channel signal integrity
Exposure to lab measurements including VNA & TDR experience
Passionate about SI/PI work
Good written & verbal interpersonal skills in English
Ways to stand out from the crowd:
Familiarity with NRZ/PAM-4 signaling schemes
Exposure to interface timing budgets and system modeling
Familiarity with high-speed I/O design concepts including clock generation, transmitter & receiver design, and equalization schemes
PDN analyses including model generation and time domain simulation
Experience w/ Matlab, Python, and C as well as exposure to package design
Skills Required
- MS/BS in Electrical Engineering or equivalent experience
- Minimum 3+ years of experience as a SI/PI engineer
- Deep understanding of electromagnetics and transmission line theory
- Proficient with HFSS, Sigrity, Hspice, or similar tools
- Experienced with Cadence Allegro PCB designer and Constraints Manager
- Understanding of high volume manufacturing variations
- Exposure to lab measurements, including VNA & TDR experience
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.
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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.
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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.
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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
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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