Senior Compiler Engineer Infrastructure

About the role

We are looking for an experienced Compiler Infrastructure Engineer to join our Compute Compiler Team. This role involves aligning NVIDIA’s compiler codebases with open-source ecosystems and improving 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

• 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

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

Skills

• 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 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.

Pay

Not specified

Schedule

Not specified