Job Summary:
NVIDIA is a leading technology company focused on innovation in areas like Artificial Intelligence and Deep Learning. They are seeking an experienced Compiler Infrastructure Engineer to join their Compute Compiler Team to enhance developer productivity and align their compiler codebases with open-source ecosystems.
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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.