Compiler Engineer, Infrastructure - College Grad

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 s role sits at the intersection of open-source compiler development, internal compiler infrastructure, and developer experience.

• Reconcile and synchronize downstream compiler codebases with open-source repositories, including restructuring, refactoring, and up streaming 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.

• Recent graduate of a B.S. or M.S. in Computer Science, Computer Engineering, or related field (or equivalent experience).
• Experience with open-source compiler frameworks.
• Excellent hands‑on C++ programming skills.
• Experience working with large‑scale, long‑lived codebases, including refactoring and restructuring efforts.
• Solid understanding of compiler internals, including IRs, passes, build systems, and tool chains.
• 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.

• 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 offers a base salary ranging from $108,000 to $178,250 for Level 1 and from $124,000 to $195,500 for Level 2. You will also be eligible for equity and benefits.

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. We do not discriminate 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.