NVIDIA
Senior Compiler Optimization Engineer - MLIR
$184K–$288K
US, WA, Redmond +1 · Senior · Full-time · Posted Sep 16, 2026
- Location
- US, WA, Redmond
US, CA, Santa Clara - Experience
- 8+ years in compiler optimizations.
- Education
- B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related fields (or equivalent experience).
About the job
Develop and optimize MLIR/LLVM-based compiler components and passes to improve application performance on NVIDIA GPUs, especially for AI workloads.
What you'll do
- Profile GPU applications and identify opportunities to improve the compiler middle-end optimizer.
- Design and implement compiler passes and optimizations for robust, high-performance tools.
- Collaborate with LLVM contributors and distributed compiler, hardware, and application teams.
What they ask for
- 8+ years of experience in compiler optimizations, including loop, inter-procedural, and global optimizations.
- Excellent hands-on C++ programming skills.
- Understanding of a processor ISA.
- B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent experience.
Nice to have
- Experience developing applications in CUDA or another parallel programming language; deep understanding of parallel programming concepts.
- MLIR, LLVM, and/or Clang compiler development experience; familiarity with deep learning frameworks and NVIDIA GPUs.
Pay
184,000 USD - 287,500 USD (base salary)
Tools
C++, MLIR, LLVM, CUDA, Clang
AI focus
Develop compiler optimizations that improve AI workload performance; NVIDIA uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative