NVIDIA is a learning machine that constantly evolves by seeking exciting opportunities that matter to the world, and that only we can solve. We attract the world’s best people, so we can achieve our highest aim: building a company that lets us do our life’s work, at the highest level of our craft. Join our new team building the next generation of datacenter infrastructure that powers the future of AI. We are seeking highly motivated technical experts to join our new organization leading datacenter product design.
What you'll be doing:
Drive end-to-end system architecture from silicon to rack level
Lead cross-domain optimization efforts involving power delivery, thermal design, signal integrity, and mechanical constraints
Develop innovative features at all levels (silicon/system) to help improve GPU performance
Collaborate with vendors and suppliers for interconnect (electrical/optical), power delivery, and memory solutions
Provide expertise and support to validation teams with planning and execution
Work with customers on an as-needed basis to help deliver products
What we need to see:
15+ years of experience in a rigorous technical hardware role interfacing with systems (HW system architecture, PCB design, mixed signal design, hardware validation, system verification, signal integrity, etc)
Master's degree (or equivalent experience) in Electrical Engineering or related field
Deeply inquisitive and able to use core technical competencies to provide direction on system architecture
Ability to see big picture tradeoffs for product success
Motivation and ability to manage concurrent projects and priorities with tight deadlines in a multifaceted environment
Excellent communication skills required to work well with multi-functional teams (software, firmware, marketing, mixed signal, etc.)
Previous experience with L10/L11
Deep understanding of system level (L11) power architecture tradeoffs
Knowledge and experience with modern optical communications (pluggables, CPO)
Strong signal/power integrity background with hands on lab experience (Oscilloscope, TDR, VNA)
Ways to Stand Out from the crowd:
Experience with applied ML frameworks, successful applications of AI/ML to hardware problems
Understanding of electrical vs mechanical tradeoffs
Proficiency with CAD simulation tools
Ability to think outside the box!
You will also be eligible for equity and benefits.
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.Skills Required
- 15+ years of experience in technical hardware role
- Master's degree in Electrical Engineering or related field
- Deep understanding of system level power architecture tradeoffs
- Strong signal/power integrity background
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.”
