Compiler Engineer, Infrastructure - New College Grad 2026

About the role

We are seeking an experienced Compiler Infrastructure Engineer to join our Compute Compiler Team. This role involves aligning NVIDIA’s compiler codebases with open-source ecosystems and enhancing developer productivity at scale.

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 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

Requirements

• 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 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

Qualifications

• Direct experience reconciling or maintaining downstream forks of open-source projects
• Practical experience building developer productivity tools, CI infrastructure, or large-scale automation
• 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

Benefits

With highly competitive salaries and a comprehensive benefits package, NVIDIA offers a dynamic and supportive work environment. We are committed to fostering an inclusive workplace and pride ourselves on being an equal opportunity employer. We highly value diversity in our workforce and strive to provide equitable opportunities for all candidates.