NVIDIA Corporation

Senior Compiler Engineer Infrastructure

NVIDIA Corporation$152K — $241K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • B.S., M.S., or Ph.D. in Computer Science, Computer Engineering, or equivalent experience
  • Experience with open-source compiler frameworks
  • Excellent hands-on C++ programming skills
  • 3+ years working with large-scale, long-lived codebases
  • Solid understanding of compiler internals, including IRs, passes, and build systems
  • Familiarity with source-control-heavy workflows
  • Strong software engineering fundamentals with an emphasis on developer infrastructure

Responsibilities

  • Reconcile and synchronize downstream compiler codebases with open-source repositories
  • Lead restructuring and merging efforts to reduce divergence from upstream projects
  • Design and build infrastructure, tooling, and workflows to improve productivity
  • Develop automation and developer tools for rebasing and patch management
  • Explore AI-assisted tools for improving developer workflows
  • Partner with various teams to ensure scalable changes across distributed organizations
  • Serve as a technical bridge between internal development and open-source ecosystems

Benefits

  • Eligibility for equity
  • Access to a comprehensive benefits package
  • Opportunity to work on cutting-edge technologies
  • Collaboration with a talented team in a fast-paced environment
  • Potential for continuous learning and upskilling in a dynamic field
Full Job Description
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 at scale. This role sits at the intersection of open-source compiler development, internal compiler infrastructure, and developer experience. You will play a central role in reconciling 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 move faster and with higher confidence.

What you will be doing:
  • 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


What we need to see:
  • 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


Ways to stand out from the crowd:
  • 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


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.

Applications for this job will be accepted at least until May 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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