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
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until June 7, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
Additional Information
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!
Nvidia · Santa Clara, CA