Skip to content

Manager, GPU Compiler Engineering

US, OR, Hillsboro; US, TX, Austin; US, AZ, Remote; US, CA, Santa Clara
Full Time Remote

Summary

Job Description

NVIDIA's invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Our GPUs are being used in many of the largest high performance computing projects around the world, solving real world problems. Our products are used to build and parallelize the most meaningful scientific applications in the world for weather modeling, climatology, fluid dynamics and defense. We support real science and scientists throughout the world.

We are now looking for a Compiler Engineering Manager! NVIDIA’s HPC Compiler team is looking to hire a Compiler Engineering Manager to join the team building one of the world's most important optimizing compiler products. Your work will support development of compilers for high-performance computing and drive the underlying technology that powers GPU code generation for C++, Fortran, OpenACC and OpenMP. Do you love the inherent challenges of complex software projects and driving systemic improvements in compiler performance and development methodologies? Are you self-motivated and a comfortable in a fast-paced team? Being a compiler engineering manager requires both traditional software management skills and a dedication to the success of our end users. We are looking for managers to lead teams working on GPU code generation and optimization technology for C++, Fortran, OpenMP, OpenACC, Flang, Clang, MLIR, and LLVM. If you want to drive innovative compiler development in high-performance computing, then we want you!

What you'll be doing:

  • Managing a team of experienced compiler engineers

  • Establish team objectives to meet schedules and goals.

  • Act as a mentor and advisor to grow our next generation of leaders.

  • Establish and evolve policies and procedures that affect the immediate organization.

  • Communicate with senior management for team vision and development.

What we need to see:

  • Degree in Computer Science, ECE or equivalent experience; (Ph.D. or Masters preferred)

  • A software engineer with 10+ overall years of experience with at least 4 years of hands on management

  • Strong software design fundamentals and a deep understanding of compilers and programming languages

  • Knowledge of software engineering principles

Ways to stand out from the crowd:

  • Contributing to LLVM or other open source projects

  • Familiarity with GPU code generation, OpenMP, and OpenACC standards

  • Knowledge of compiler internals from front end to run-time environment

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 21, 2025.

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.

About Nvidia

Nvidia

NVIDIA is one of the most influential technology companies in the world, powering the modern era of artificial intelligence, high-performance computing, graphics, and autonomous systems. Originally known for its leadership in gaming GPUs, NVIDIA has evolved into the backbone of AI infrastructure, designing the chips, software, and systems that train and deploy large-scale AI models used across industries from healthcare and robotics to autonomous vehicles and scientific computing.

For job seekers, NVIDIA offers opportunities at the forefront of deep tech, spanning software engineering, AI research, systems engineering, hardware design, networking, robotics, and developer tools. A major focus of its work is the CUDA software platform and AI ecosystem, which enables developers to program GPUs at massive scale and has become foundational to modern machine learning and data center computing. This makes NVIDIA especially attractive to engineers, researchers, and technologists who want to work directly on the infrastructure powering today’s AI revolution.

Unlike traditional hardware companies, NVIDIA operates as a full-stack computing platform company, integrating silicon, systems, and software into a unified ecosystem. Employees may work on everything from GPU architecture and data center systems to AI frameworks, simulation platforms like Omniverse, and autonomous vehicle technology through the DRIVE platform. This breadth allows teams to operate at the intersection of research and production-scale deployment, with direct impact on global computing infrastructure.

As demand for AI, accelerated computing, and autonomous systems continues to grow rapidly, NVIDIA remains one of the most important employers in technology and advanced engineering. For professionals seeking a high-impact career at the center of AI development—where breakthroughs quickly translate into real-world systems at global scale—NVIDIA stands out as one of the most dynamic and sought-after destinations in the industry.

Go to company profile