NVIDIA
Senior Performance Compiler Engineer - Triton
$184K–$288K
US, WA, Redmond +5 · Senior · Full-time · Posted May 8, 2026
- Location
- US, WA, Redmond
US, TX, Remote
US, WA, Remote
US, CA, Remote
US, CA, Santa Clara
US, WA, Seattle - Experience
- 8+ years of relevant industry experience in software development.
- Education
- Bachelor, Masters or Ph.D. degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or a related field.
About the job
Develop and optimize the open-source Triton compiler to generate high-performance GPU code for AI training and inference on NVIDIA GPUs.
What you'll do
- Investigate NVIDIA GPU architectures, programming models, and AI algorithms to identify optimization opportunities.
- Design and implement compiler technology using MLIR and Triton’s Python DSL, including inline PTX where needed.
- Collaborate across NVIDIA to optimize performance and influence future products.
What they ask for
- Bachelor’s, Master’s, or Ph.D. degree or equivalent experience in Computer Science, Computer Engineering, Applied Math, or a related field.
- 8+ years of relevant industry experience in software development.
- Strong C++ programming and software design skills, including performance analysis and debugging.
- Experience with parallel programming and GPU programming, plus computer architecture and hands-on assembly-level programming.
Nice to have
- Experience tuning BLAS or deep learning library kernels; background in numerics and linear algebra.
- Experience with machine learning compilers such as TVM or MLIR, or open-source contributions in AI/ML or compiler projects.
Pay
184,000 USD - 287,500 USD (base salary)
Tools
C++, CUDA, OpenCL, OpenMP, MLIR, Triton's Python DSL, inline PTX, TVM
AI focus
Compiler optimization for AI workloads, including large language models, agents, training, inference, and algorithms such as attention sinks and MoEs; NVIDIA also uses AI tools in recruiting.
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