NVIDIA
Technology
SeniorCompilerEngineer
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“Senior Compiler Engineer at NVIDIA. Skills: Compiler Infrastructure Engineering, Open-source compiler development, LLVM, Clang, MLIR, C++, Large-scale codebase alignment, Developer productivity tools. Reconcile and synchronize downstream compiler codebases with open-source repositories, including restructuring, refactoring, and upstreaming internal changes where appropriate. Lead efforts to restructure, merge, or retire internal code to reduce divergence from upstream open-source projects”
What You'll Achieve.
improving developer productivity at scale; enabling compiler engineers across NVIDIA to move faster and with higher confidence; ensuring that NVIDIA continues to lead in scalable, maintainable, and community‑driven compiler technology; improve productivity, correctness, and maintainability for internal compiler engineers; improve developer workflows
Industry & Context.
What They're Looking For.
Must Have
B. S. , M. S. , or Ph. D. in Computer Science, Computer Engineering, or related field (or equivalent experience), Experience with open-source compiler frameworks, Excellent hands-on C++ programming skills, 3+ years experience working with large-scale, long-lived codebases, including refactoring and restructuring efforts, Solid understanding of compiler internals, including IRs, passes, build systems, and toolchains, Familiarity with source-control–heavy workflows (e. g. , downstream vs. upstream repos, patch queues, rebasing strategies), software engineering fundamentals with an emphasis on robust, maintainable developer infrastructure, Good communication and documentation ability to collaborate across teams and time zones
Nice to Have
Direct experience reconciling or maintaining downstream forks of open-source projects, Experience building developer productivity tools, CI infrastructure, or large-scale automation, Practical experience applying AI or ML-based tools to improve engineering workflows, Background in GPU programming, CUDA, or parallel programming models, Familiarity with deep learning frameworks and performance-sensitive workloads on NVIDIA GPUs
What You'll Do.
Reconcile and synchronize downstream compiler codebases with open-source repositories
including restructuring
and upstreaming internal changes where appropriate
Lead efforts to restructure
or retire internal code to reduce divergence from upstream open-source projects
Design and build infrastructure
and developer workflows that improve productivity
and maintainability for internal compiler engineers
Develop automation and developer tools to aid in rebasing
and large-scale refactoring
Explore and apply AI-assisted tools to improve developer workflows
including code navigation
refactoring assistance
and review efficiency
Partner with compiler developers
and CI/test infrastructure teams to ensure changes scale across geographically distributed organizations
Serve as a technical bridge between internal compiler development and open-source ecosystems
helping shape long-term alignment strategies
How You'll Work.
Team & Collaboration
Partner with compiler developers, architecture teams, and CI/test infrastructure teams; collaborate across teams and time zones
Communication Scope
Good communication and documentation ability to collaborate across teams and time zones
Full Job Description
Come join the team and see how you can make a lasting impact on the world. We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler Team, with a primary focus on aligning NVIDIA’s compiler codebases with open-source ecosystems and improving developer productivity at scale. This role sits at the intersection of open-source compiler development, internal compiler infrastructure, and developer experience. You will play a central role in reconciling downstream compiler repositories with upstream open-source projects such as LLVM, Clang, and MLIR, while building the tooling, workflows, and infrastructure that enable compiler engineers across NVIDIA to move faster and with higher confidence. Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our internal compiler stacks align with open source and by modernizing the tools our developers rely on, you will help ensure that NVIDIA continues to lead in scalable, maintainable, and community‑driven compiler technology. If you are passionate about open-source stewardship, large-scale codebase alignment, and using modern tooling (including AI-assisted workflows) to improve developer velocity, we would love to hear from you. **What you will be doing:** * Reconcile and synchronize downstream compiler codebases with open-source repositories, including restructuring, refactoring, and upstreaming internal changes where appropriate * Lead efforts to restructure, merge, or retire internal code to reduce divergence from upstream open-source projects * Design and build infrastructure, tooling, and developer workflows that improve productivity, correctness, and maintainability for internal compiler engineers * Develop automation and developer tools to aid in rebasing, patch management, validation, and large-scale refactoring * Explore and apply AI-assisted tools to improve developer workflows, including code navigation, change analysis, refactoring assistance, testi
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