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 will be doing:
Hands-on leadership of HBM/GDDR enablement, validation, and failure analysis for NVIDIA’s datacenter and graphics products.
Drive review of memory partner’s design limits and test methodology. Integrate learnings into unique characterization and test plans for each memory generation.
Apply understanding of controller design, board design, and DRAM design to define and refine characterization, validation, and POR set methodologies.
Work closely with memory partners to successfully enable memory into production.
Work cross-functionally with multiple hardware design and software teams.
Guide product level decisions for the memory subsystem that span ASIC/VLSI/Board/ATE.
What we need to see:
Masters or higher in Electrical engineering (or equivalent experience).
10+ years of relevant hands-on experience in high-speed DRAM design and test.
Broad comprehension of ASIC design, mixed signal design, and power/signal integrity concepts.
Strong fundamentals in science, engineering, and data analysis.
Very comfortable being hands-on with hardware and software.
Working knowledge of Linux, scripting, programming, computer systems, and data analysis methods.
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 an inclusive 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
- Masters or higher in Electrical Engineering (or equivalent experience).
- 10+ years hands-on experience in high-speed DRAM design and test.
- Broad comprehension of ASIC design, mixed signal design, and power/signal integrity concepts.
- Strong fundamentals in science, engineering, and data analysis.
- Comfortable being hands-on with hardware and software.
- Working knowledge of Linux, scripting, programming, computer systems, and data analysis methods.
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.”
