NVIDIA
Senior DL Compiler Engineer - CUDA Tile LPU
$152K–$242K
US, CA, Santa Clara +5 · Senior · Full-time · Posted Oct 6, 2026
- Location
- US, CA, Santa Clara
US, TX, Austin
US, OR, Remote
US, WA, Remote
US, CA, Remote
US, WA, Redmond - Experience
- 3+ years of relevant work or research experience.
- Education
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent experience).
About the job
Develop and optimize compiler support for CUDA Tile, a tile-based programming model for NVIDIA LPUs and GPU/LPU architectures.
What you'll do
- Design compiler transformations, MLIR-based dialects, and lowering passes.
- Optimize tile-based kernel performance across NVIDIA GPU and LPU generations.
- Define public APIs and implement compiler and optimization techniques.
What they ask for
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent experience).
- 3+ years of relevant work or research experience in compiler optimization, performance analysis, and IR design.
- Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
- Ability to work independently, set project goals and scope, and lead development work.
Nice to have
- Knowledge of CPU and/or GPU architecture; CUDA or OpenCL programming experience.
- Experience with MLIR, LLVM, XLA, TVM, and deep learning models and algorithms.
Pay
152,000 USD - 241,500 USD (base salary)
Tools
CUDA Tile, MLIR, C/C++, CUDA, OpenCL, LLVM, XLA, TVM
AI focus
Develop compiler support and performance optimizations for deep learning workloads; NVIDIA also states that it uses AI tools in its recruiting processes.
Model-written summary · the original posting is authoritative