Senior Compiler Engineer Infrastructure

NVIDIA•Redmond, WA

9d•$152,000 - $241,500

About The Position

NVIDIA is seeking an experienced Compiler Infrastructure Engineer to join its Compute Compiler Team. The role focuses on aligning NVIDIA’s compiler codebases with open-source ecosystems and improving developer productivity at scale. It sits at the intersection of open-source compiler development, internal compiler infrastructure, and developer experience. The engineer will help reconcile downstream compiler repositories with upstream projects such as LLVM, Clang, and MLIR, while building tools, workflows, and infrastructure that help compiler engineers work more efficiently and confidently. The position contributes to scalable, maintainable, community-driven compiler technology by improving alignment between internal compiler stacks and open source and modernizing developer tools.

Requirements

B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or a related field, or equivalent experience.
Experience with open-source compiler frameworks.
Excellent hands-on C++ programming skills.
At least 3 years of 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, such as downstream versus upstream repositories, patch queues, and rebasing strategies.
Strong software engineering fundamentals, with an emphasis on robust, maintainable developer infrastructure.
Good communication and documentation skills, and the ability to collaborate across teams and time zones.

Nice To Haves

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.

Responsibilities

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 support 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, testing, and review efficiency.
Partner with compiler developers, architecture teams, 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.