$184,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA seeks a compiler optimization engineer to develop and improve MLIR/LLVM-based compilers that accelerate GPU workloads in AI, HPC, and autonomous computing. This role suits experienced compiler developers who want to work on performance optimization at scale, directly impacting how thousands of developers use GPU hardware.
Our summary, not NVIDIA’s wording. The full posting is on their site.
What they ask for
Required
- B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related field
- 8+ years compiler optimization experience including loop optimizations, inter-procedural optimizations, and global optimizations
- Excellent C++ programming skills
- Understanding of processor instruction set architecture
- Strong software engineering principles and ability to write robust, maintainable code
- Good communication and documentation skills
Nice to have
- Master's or PhD degree
- CUDA or parallel programming language application development experience
- Deep understanding of parallel programming concepts
- MLIR, LLVM, or Clang compiler development experience
- Familiarity with deep learning frameworks and NVIDIA GPUs