Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization.
NVIDIA’s System Product Team is looking for curious, collaborative, and motivated hardware engineers to take our GPU memory subsystem from first silicon power-on to production.
What you'll be doing:
Planning and performing DDR memory tuning, validation, and feature enablement on NVIDIA products.
Reviewing silicon design specifications, component datasheets, board schematics, and layout.
Exercising your understanding of digital, analog, and computer design to debug and resolve controller, memory, board, or software/firmware level issues at all stages of the product.
Refining our memory bringup and validation strategy. Providing feedback and recommendations to silicon, board, and software teams.
What we want to see:
BS or MS EE degree with affinity for mixed signal/analog, embedded systems, and digital design (or equivalent experience).
2+ years relevant experience.
Understanding of high speed signal integrity and experience with oscilloscopes.
Understanding of schematic capture and board design.
Working knowledge of PC systems, windows OS, and Linux.
Excellent understanding of EE fundamentals. Able to break problems down based on first principles.
Familiar with scripting or programming languages such as C, C++, JAVA, Python, or Perl.
Possess good collaboration and cross-disciplinary teamwork skills. Comfortable working across time zones.
Deeply curious about technology and passionate about learning.
Ways to stand out from the crowd:
Experience as a tutor or teacher’s assistant.
Good presentation skills.
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
- BS or MS in Electrical Engineering or equivalent
- 2+ years relevant experience
- Understanding of high speed signal integrity
- Experience with oscilloscopes
- Understanding of schematic capture and board design
- Working knowledge of PC systems, Windows OS, and Linux
- Familiarity with scripting or programming languages
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.”
