NVIDIA's GPU Architecture Group is seeking an outstanding Software Engineer to advance the state of the art in GPU performance tools. This role offers the opportunity to develop innovative profiling capabilities on the next-generation hardware. In this role, you will get to reshape how engineers understand and optimize the world's most advanced GPUs. If you want the freedom to take features from concept through implementation while applying critical thinking and engineering judgment, this is the role for you!
What you'll be doing:
Build innovative features for NVIDIA's GPU profiling tools from inception to execution
Incorporate new hardware profiling capabilities into tools and workflows
Work independently based on high-level requirements, filling in build details and making sound engineering decisions
Collaborate with architects, performance engineers, and other software teams to understand requirements and deliver solutions
Improve and maintain a large, evolving codebase with high standards for quality and reliability
What we need to see :
B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field (or equivalent experience)
3 years or more experience writing production software in Python and C++
Proven foundation in computer architecture and performance analysis
Experience in parallel programming or accelerated computing
Track record of building tools or infrastructure for other engineers, with a strong sense of what makes a great developer experience
Up to date with the latest software engineering practices including AI-enabled development tooling
Ways to stand out from the crowd:
Contributions to open-source performance analysis tooling
Experience as a user or creator of CPU or GPU profiling tools
Experience in GPU computing or accelerated computing platforms
Background with building software tools on top of hardware capabilities
Familiarity with AI workloads and their performance characteristics
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
- B.S., M.S., or PhD in Computer Science, Computer Engineering, or a related field
- 3 years or more experience writing production software in Python and C++
- Proven foundation in computer architecture and performance analysis
- Experience in parallel programming or accelerated computing
- Track record of building tools or infrastructure for other engineers
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.”
