Senior Systems Software Engineer, CUDA and AI HW Profiler

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Quick Summary

Key Responsibilities

Design and implement innovative features for our GPU performance profiling tools with a focus on AI applications.

Requirements Summary

5+ years proven experience in software engineering with a focus on performance tools. B.S. EE/CS (or equivalent experience). Strong programming skills in C++.

Technical Tools

Software EngineerSoftware Engineering

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 develop groundbreaking performance tools for GPUs that cater to both newcomers and top-tier 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!

Responsibilities

~1 min read

→Design and implement innovative features for our GPU performance profiling tools with a focus on AI applications.
→Apply your own knowledge and skills to build tools that are instantly used by CUDA developers all over the world.
→Collaborate and interact with other teams within NVIDIA, including compiler team as well as the CUDA driver team, to influence and design new features from the bottom up.

Requirements

~1 min read

5+ 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.

Expertise in CUDA kernel programming and profiling.
Knowledgeable in parsing DWARF
Highly motivated to apply your knowledge and eager to learn new skills in a fast-paced environment.
Outstanding interpersonal skills and the ability to collaborate effectively as part of a dynamic team.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 24, 2026.

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.