NVIDIA’s GPU Architecture Group is looking for architects to contribute to the design of our proprietary profiler subsystem, the apparatus embedded in every GPU that enables our profiling and monitoring tools to capture data and provide feedback for performance optimization. As a member of our team, you will need to combine skills in hardware modeling and verification with a deep understanding of GPU architecture, operating systems, and application performance analysis to innovate new methods of hardware profiling that yield more meaningful and accessible performance insights. You will have a tangible impact at a fast-paced company that is spearheading the AI revolution. Join our technically diverse team of GPU architects, software engineers and deep learning experts to push the boundaries of AI performance!
What you’ll be doing:
Architect and plan features in concert with software, hardware, and verification teams working across the globe to implement next generation GPU profiling features.
Build functional and performance models to refine and verify hardware designs.
Create test plans to validate the features you design and contribute to their implementation.
Constantly develop your skills for practical innovation by improving your understanding of the AI workloads, the GPU architecture, and the profiling software stack.
What we need to see:
Masters, or PhD in relevant field (Eg: Computer Science, Computer Engineering or Electrical Engineering) or equivalent experience.
3+ years of relevant computer architecture, ASIC design/verification, or software development experience.
Strong programming skills in C++ (or similar) and Python (or similar).
Solid foundation in computer architecture and hardware performance analysis.
Experience with performance modeling and hardware simulation, ideally using SystemC.
Strong communication and interpersonal skills including the ability to work with a distributed interdisciplinary team.
Ways to stand out from the crowd:
Expertise in developing and optimizing parallel algorithms, particularly using GPUs.
Extensive experience as a user or developer of CPU or GPU profiling tools.
Background with AI and/or high-performance computing applications
Experience contributing to and debugging large codebases with many developers.
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 PhD in Computer Science, Computer Engineering or Electrical Engineering
- 3+ years in computer architecture, ASIC design/verification, or software development
- Strong programming skills in C++ and Python
- Solid foundation in computer architecture and hardware performance analysis
- Experience with performance modeling and hardware simulation using SystemC
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.
-
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.
-
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.
-
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.”
