- Bachelor’s, Master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.
- 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
- Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.).
- Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
- Ability to work independently, define project goals and scope, and lead your own development efforts.
- Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.
Ways to stand out from the crowd
- Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
- Understanding of deep learning models, algorithms and frameworks, such as PyTorch, JAX.
- GPU kernel authoring and performance analysis using tools such as Nsight Compute.
- A track record of success in mentoring early-career engineers and interns is a bonus.
- Track record on new hardware bring-up is a plus.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.