Senior Compiler Engineer Infrastructure

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, NVIDIA is using the potential of AI to define the next era of computing, with GPUs powering computers, robots, and self-driving cars.

The Compute Compiler Team is seeking an experienced Compiler Infrastructure Engineer focused 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 help reconcile 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 work more efficiently and reliably.

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.

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 intermediate representations, compiler 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 and maintainable developer infrastructure.
• Good communication and documentation skills, with the ability to collaborate across teams and time zones.

Preferred Qualifications

• 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.

Compensation and Benefits

The base salary range is USD 152,000–241,500 per year. Salary is determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until August 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.