Senior Llvm Compiler Engineer

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA +5 · Remote

Senior Compiler Engineer focused on upstream engagement with the LLVM ecosystem and advancing NVIDIA’s compiler technology through sustained participation in open-source communities. This role involves working directly with LLVM, Clang, MLIR, and related open-source projects to upstream compiler functionality.

What you'd actually do

  1. Work closely with LLVM, Clang, MLIR, and related open‑source communities to upstream compiler features, refactors, and infrastructure originating from NVIDIA’s downstream codebases
  2. Lead and contribute to design discussions, RFCs, and code reviews in upstream communities with an emphasis on long‑term maintainability and broad usefulness
  3. Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations
  4. Advocate for NVIDIA’s technical needs through credible engineering arguments, prototypes, and sustained community engagement
  5. Collaborate with internal compiler teams to identify which downstream capabilities are best suited for upstreaming and how to stage that work effectively

Skills

Required

  • B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or related field (or equivalent experience)
  • 6+ years experience with LLVM, Clang, MLIR, or similar compiler infrastructures
  • Excellent hands‑on C++ programming skills
  • Solid understanding of compiler internals, including IR design, transformations, analyses, and code generation pipelines
  • Experience engaging with open‑source development workflows, including design discussions, code reviews, and upstream contribution processes
  • Ability to navigate complex technical trade‑offs while balancing upstream community expectations with internal product needs
  • Strong communication skills, including technical writing, design articulation, and cross‑organizational collaboration

Nice to have

  • Proven track record of upstream contributions to LLVM or related open‑source compiler projects
  • Experience in successfully upstreaming non‑trivial production code from a downstream or proprietary environment
  • Recognition within open‑source communities as a trusted contributor or reviewer
  • Background in GPU architectures, CUDA, or parallel programming models
  • Familiarity with deep learning frameworks and performance‑critical workloads on NVIDIA GPUs

What the JD emphasized

  • 6+ years experience with LLVM, Clang, MLIR, or similar compiler infrastructures
  • Proven track record of upstream contributions to LLVM or related open‑source compiler projects
  • Experience in successfully upstreaming non‑trivial production code from a downstream or proprietary environment