Senior Compiler Engineer Infrastructure

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Job summary

NVIDIA seeks an experienced Compiler Infrastructure Engineer to align our compiler stacks with open-source ecosystems and to improve developer productivity at scale.

You will reconcile downstream codebases with LLVM/Clang/MLIR, design tooling and workflows, and apply AI-assisted methods to accelerate refactoring and patch management. Join a global team driving scalable, community-driven compiler technology across NVIDIA GPUs.

Qualifications

• Experience with open-source compiler frameworks and downstream/upstream reconciliation.
• 3+ years working with large-scale, long-lived codebases including refactoring.
• Solid understanding of IRs, passes, build systems, and toolchains.
• Familiarity with heavy source-control workflows (downstream vs upstream, patch queues).
• Strong software engineering fundamentals with focus on maintainable infrastructure.

Responsibilities

• Reconcile and synchronize downstream compiler codebases with open-source repositories, including restructuring and upstreaming changes.
• Lead efforts to reduce divergence from upstream projects by restructuring, merging, or retiring internal code.
• Design and build infrastructure, tooling, and workflows to improve productivity, correctness, and maintainability for internal compiler engineers.
• Develop automation and developer tools for rebasing, patch management, validation, and large-scale refactoring.
• Explore AI-assisted tools to improve workflows, including code navigation, change analysis, and review efficiency.
• Collaborate with compiler developers, architecture, and CI/test teams to scale changes across distributed orgs.
• Serve as a bridge between internal compiler development and open-source ecosystems and help shape alignment strategies.

Skills

C++ programming

Open-source compiler frameworks

Large-scale codebases

Compiler internals

Source-control workflows

Developer infrastructure

Communication skills

Education

BS/MS/PhD in Computer Science/Engineering

Tools

LLVM/Clang/MLIR

Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. 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, 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

What we need to see:

• 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)
• Strong software engineering fundamentals with an emphasis on robust, maintainable developer infrastructure
• Good communication and documentation skills; ability to collaborate across teams and time zones

Ways to stand out from the crowd:

• 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

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 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 14, 2026.

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.