Compiler Deep Learning Engineer - Debuggers

NVIDIA GPUs are powering the next generation of computing, and delivering a world-class developer experience is critical to enabling innovation across AI, HPC, graphics, and beyond. We are looking for a highly motivated compiler engineer to join the DL compiler tooling team. You will craft compiler capabilities that enable the debugging of novel programming paradigms on NVIDIA's next generation GPU's. Come join us to work with a top-tier team and help shape the future of GPU programming.

What you'll be doing :

Develop debugger support in an MLIR-based compiler stack to support debugging novel GPU programming paradigms.

Enable debugger support in various programming languages and domain-specific languages (DSLs) targeting NVIDIA GPUs.

Work with other internal compiler and developer tools teams to ensure seamless debugging experiences across the NVIDIA software and developer tooling stack.

Collaborate closely with research, libraries, and product teams at NVIDIA to identify debugger features that can effectively improve developer productivity and efficiency.

What we need to see :

Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, or a related field (or equivalent experience)

4+ years of relevant work or research experience in compiler development, debugging tools, or related areas.

Strong C / C++ programming and software design skills, including debugging, performance analysis, and test design.

Ability to work independently, define project goals and scope, and lead your own development effort.

Excellent communication and collaboration skills, with a passion for working in dynamic, cross-functional teams.

Ways to stand out from the crowd :

Strong track record in MLIR compiler engineering, with deep knowledge of compiler internals and optimizer / code generation pipelines.

Experience building debugger support for programming languages or DSLs, especially those targeting GPUs.

Technical understanding of debugging formats such as DWARF.

Knowledge of CPU and / or GPU architecture. CUDA or OpenCL programming experience.

Experience with the following technologies : MLIR, LLVM, XLA, TVM, deep learning models and algorithms, and deep learning framework design.

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 Deep Learning, Artificial Intelligence, Autonomous Vehicles, Virtual Reality, etc. Our diverse team of talented, capable, and professional people are our greatest asset! 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 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits () .

Applications for this job will be accepted at least until November 24, 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.