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
What we need to see
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
Ways to stand out from the crowd
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.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 8, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
