Senior LLVM Compiler Engineer

Work closely with LLVM, Clang, MLIR, and related open‐source communities to upstream compiler features, refactors, and infrastructure originating from NVIDIA’s downstream codebases

Lead and contribute to design discussions, RFCs, and code reviews in upstream communities with an emphasis on long‐term maintainability and broad usefulness

Refactor, adapt, and decompose downstream NVIDIA compiler code to meet upstream quality, abstraction, and API expectations

Advocate for NVIDIA’s technical needs through credible engineering arguments, prototypes, and sustained community engagement

Collaborate with internal compiler teams to identify which downstream capabilities are best suited for upstreaming and how to stage that work effectively

Partner with architecture, performance, and product teams to translate NVIDIA hardware and software requirements into upstream‐viable compiler solutions

Help shape NVIDIA’s long‐term open‐source LLVM strategy, balancing ecosystem health with NVIDIA’s platform goals

Act as a technical ambassador for NVIDIA within the compiler open‐source community, strengthening trust and collaboration over time

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

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

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles.

You will also be eligible for equity and benefits.

This posting is for an existing vacancy.

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