Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API
CUDA @ 6
Communication @ 7
Deep Learning @ 3
GPU @ 6
LLVM @ 6
Parallel Programming @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking an experienced Senior Compiler Engineer to join the Compute Compiler Team. The role focuses on upstream engagement with the LLVM ecosystem and advancing NVIDIA's compiler technology through sustained participation in open-source communities. You will work with LLVM, Clang, MLIR, and related open-source projects to upstream compiler functionality from NVIDIA's downstream repositories while shaping designs, influencing technical direction, and delivering high-quality, maintainable solutions.
Responsibilities
- Work closely with LLVM, Clang, MLIR, and related open-source communities to upstream compiler features, refactors, and infrastructure from NVIDIA's downstream codebases.
- Lead and contribute to design discussions, RFCs, and code reviews, emphasizing 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 engineering arguments, prototypes, and sustained community engagement.
- Collaborate with internal compiler teams to identify downstream capabilities suitable for upstreaming and determine how to stage the 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 while balancing ecosystem health with NVIDIA's platform goals.
- Act as a technical ambassador for NVIDIA within the compiler open-source community.
Requirements
- Bachelor's, master's, or Ph.D. degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- Six or more years of 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 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.
Preferred Qualifications
- Proven track record of upstream contributions to LLVM or related open-source compiler projects.
- Experience 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.
Benefits
- Base salary range of USD 184,000 to USD 287,500 per year, determined by location, experience, and compensation for similar positions.
- Eligibility for equity and benefits.
- NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
Applications will be accepted at least until May 11, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
More jobs at Nvidia
Senior Software Engineer, Infrastructure and Tooling - DriveOS
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Engineer, Math Libraries - Consumer and Embedded Platforms
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Finance Data Analyst
Nvidia · Santa Clara, United States
USD 124,000-230,000 per year
AI Engineering Manager - Finance
Nvidia · Santa Clara, United States
USD 168,000-322,000 per year
Performance Engineer, Deep Learning and HPC
Nvidia · Santa Clara, United States
USD 116,000-212,800 per year
Similar jobs
Senior Compiler Engineer Infrastructure
Nvidia · Santa Clara, United States
USD 152,000-241,500 per year
Senior Compiler Optimization Engineer - MLIR
Nvidia · Redmond, United States
USD 184,000-287,500 per year
Senior AI Frameworks Engineer
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior GPU Compiler Development Engineer
Nvidia · Santa Clara, United States
USD 184,000-287,500 per year
Senior System Software Engineer - CUDA Chips
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Software Engineer, AI Inference Systems
Nvidia · Germany
PLN 292,500-650,000 per year
Engineering Manager, Math Libraries Platform Expansion and Readiness
Nvidia · Santa Clara, United States
USD 224,000-431,200 per year
Senior DL Compiler Engineer – CUDA Tile
Nvidia · Santa Clara, United States
USD 152,000-241,500 per year