Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 2
GPU @ 3
Parallel Programming @ 3
Performance Analysis @ 3
Profiling @ 3
Python @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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!
Responsibilities
- 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
Requirements
- 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 July 26, 2026.