NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA Nsight Compute helps CUDA engineers around the world to innovate in Artificial Intelligence (AI) and High Performance Computing. Join our team and help develop groundbreaking performance tools for GPUs that cater to both newcomers and seasoned CUDA experts. Your contributions will be key in crafting the future of our profiling tools and helping engineers harness the full power of GPU technology for tomorrow’s breakthroughs!
What you'll be doing:
Design and implement innovative features for our GPU performance profiling tools.
Collaborate and interact with other teams within NVIDIA, including the GPU HW team, the compiler team, and well as other developer tools teams.
Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the world.
What we need to see:
8+ years proven experience in software engineering with a focus on performance tools.
B.S. EE/CS (or equivalent experience).
Strong programming skills in C++.
Existing knowledge of GPU hardware and/or motivated to learn to closely collaborate with HW teams for design, bringup, and productization of new profiling features.
Ways to stand out from the crowd:
Expertise in CUDA kernel programming and profiling.
Outstanding interpersonal skills and the ability to collaborate effectively as part of a dynamic team.
Highly motivated to apply your knowledge and eager to learn new skills in a fast-paced environment.
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
- 8+ years proven experience in software engineering with a focus on performance tools
- B.S. EE/CS (or equivalent experience)
- Strong programming skills in C++
- Existing knowledge of GPU hardware
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.”
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