NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”.

We are searching for an accomplished technical leader/manager for an exciting and fun role in our GPU software organization. We deliver features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to video games and virtual reality. Our compiler organization makes its mark on every GPU NVIDIA produces. In this role you will use your compiler expertise coupled with your management experience to help the engineering team working on back-end compiler for NVIDIA's GPUs, successfully achieve business goals. This work spans a wide range of applications areas, with multiple different compilers providing the input into our back-end compiler. Each of these areas can require different strategies to meet their needs, while ensuring support of a product that targets the same GPU. You will be solving critical problems working alongside some of the top valued diverse minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we’re eager to get in touch with you!

What you will be doing:

Providing supervisory mentorship and technical direction to a geographically distributed team of backend compiler development engineers, including planning, scheduling and execution of projects and activities
Understand and guide the implementation of both Nvidia’s proprietary and LLVM based backend compilers.
Help maintain and enhance GPU backend JIT compilers.
Collaborate closely with teams developing related components to ensure that we meet customer needs in the graphics and CUDA/C++ product areas.
Establish strong relationships and trust through excellent execution and high quality of software development.

What we need to see:

BS or higher degree in Computer Science, Computer Engineering; related field; or equivalent experience.
6+ years of experience developing production compilers coupled with 3+ years of management and /or technical leadership experience.
Proficient in compiler design and in performance analysis tools.
Known for your strong interactive, verbal, and written communications skills.
Strong hands-on C++ programming skills applied to industry standard C++ compilers and development frameworks.
Track record of success in leadership and mentoring experience
Demonstrated ability to work across organizations at all levels.

Ways to stand out from the crowd:

Strong track-record of technical management experience.
Understanding of parallel programming concepts.
Knowledge and experience of ML compilers including LLVM and MLIR.

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 March 1, 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.