NVIDIA Logo

NVIDIA

Senior Compiler Engineer Infrastructure

Reposted 18 Days Ago
Be an Early Applicant
In-Office or Remote
4 Locations
152K-242K Annually
Senior level
In-Office or Remote
4 Locations
152K-242K Annually
Senior level
The role involves synchronizing NVIDIA's compiler codebases with open-source projects, improving developer productivity, and building tools and workflows for compiler engineers.
The summary above was generated by AI

Come join the team and see how you can make a lasting impact on the world. 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.

Our compiler organization makes its mark on every GPU NVIDIA produces. By improving how our internal compiler stacks align with open source and by modernizing the tools our developers rely on, you will help ensure that NVIDIA continues to lead in scalable, maintainable, and community‑driven compiler technology. If you are passionate about open-source stewardship, large-scale codebase alignment, and using modern tooling (including AI-assisted workflows) to improve developer velocity, we would love to hear from you.

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

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.

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.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Similar Jobs

40 Minutes Ago
Remote or Hybrid
Austin, TX, USA
91K-322K Annually
Senior level
91K-322K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead industry-focused marketing strategy and execution to drive revenue and brand visibility. Conduct market research and performance analysis, develop integrated campaigns across channels, use CRM and analytics for audience engagement, create reporting frameworks, and coach teams while managing cross-functional stakeholder relationships.
Top Skills: Crm Software
40 Minutes Ago
Remote or Hybrid
Austin, TX, USA
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead data engineering efforts within Technology Consulting: design data architecture and pipelines, implement AWS/Redshift and ETL solutions, support BI (QlikView/Oracle BI), coach teams, manage client relationships and SLAs, apply systems thinking to optimize outcomes and validate solutions with stakeholders.
Top Skills: AWSDatastageDb2ETLJavaManaged ServicesOracle BiPythonQlikviewRedshiftSlasSQL ServerWorkload Orchestration And Scheduling
2 Hours Ago
In-Office or Remote
443K-748K Annually
Mid level
443K-748K Annually
Mid level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The role involves joining a group of radiologists to provide general radiology services, including radiography, fluoroscopy, and ultrasound interpretation. Must be board-certified and licensed in Texas.
Top Skills: Ct ImagingUltrasound

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account