This is an outstanding opportunity to join a world-class team and play a pivotal role in crafting the future of GPU technology. At NVIDIA, you will work with dedicated individuals in an inclusive and collaborative environment where your hardworking nature will drive flawless execution and ambitious projects.
What you will be doing:
Develop GPU architecture innovations and improvements, optimizing along the axes of scalability/modularity, performance, area, yield, effort, and schedule.
Develop and enhance chip design infrastructure, including functional models and yield simulators, testbench components and analysis tools, to evaluate configurations under different constraints.
Develop tests, test plans and testing infrastructure for new architectures/ features
Work in a matrixed environment, across the different modeling teams, to document, design, develop tools to optimize chip yield and performance
Implement and maintain functional, performance, and yield models
Document architecture specifications; work with ASIC design, software, and VLSI teams to review and explore trade-offs, define solutions, and track progress.
Collaborate with other functional teams (Design, Floorplan, Packaging and Systems Engineering, etc) to validate choices against performance, cost, and scalability targets.
Guide the improvement of functional verification tools and expand other resources to support future GPU architectures
What we need to see:
Bachelors/Master’s/PhD in Computer Engineering, Computer Science or related fields (or equivalent experience)
A minimum of 10 years of relevant work experience in GPU or CPU System Architecture development
Proficient programming skills in C++ and Python.
Solid background in Computer Architecture with experience in modeling
Strong communication and interpersonal skills, as well as the ability to thrive in a dynamic, collaborative, distributed team.
Strong problem-solving and debugging skills, with a track record of driving issues to closure
Ways to stand out from the crowd:
Experience with GPU architecture and/or Network-on-Chip (NoC)/Interconnect. Knowledgeable in system level functions such as reset and boot, DFT.
Consistent track record of efficiently implementing complex architectural features
Outstanding problem-solving skills with a focus on optimizing performance, area, complexity, and power.
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
- Bachelors/Master's/PhD in Computer Engineering, Computer Science or related fields
- A minimum of 10 years of relevant work experience in GPU or CPU System Architecture development
- Proficient programming skills in C++ and Python
- Solid background in Computer Architecture with experience in modeling
- Strong communication and interpersonal skills
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.”
