- Bachelors, Masters 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.
- Ability to work independently, define project goals and scope, and lead your own development efforts.
- Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
- 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.
- Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
- Experience with the following technologies: MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.
- GPU kernel generation with high performance and fast build time.
- A track record of success in mentoring junior engineers and interns is a bonus.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.
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.
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