NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

Come join the team and see how you can make a lasting impact on the world. We are building the next generation of compiler technologies to accelerate deep learning workloads. We are looking for an engineer to implement compiler verification software & related infrastructure in the AI space. You will be solving critical problems working alongside a diverse set of minds in GPU computing and systems software, doing what you enjoy. If this sounds like a fun challenge, we want to hear from you

What you’ll be doing:

In this role you will work closely with compiler developers to verify new and state of the art deep learning related features and components including implementing and executing functional and performance testing and benchmarking software solutions. This would include authoring and reviewing verification plans, and implementing verification programs, scripts, and libraries. You will apply deep learning and other sophisticated techniques to implement compiler verification solutions. You will help identify potential or observed weaknesses in the current process, offer ideas for actions that can improve code coverage, and participate in quality initiatives and drive continuous improvement.

What we need to see:

• BS or MS in Computer Science, Computer/Electrical Engineering, Mathematics or related field (or equivalent experience)

• 3+ years programming experience in Machine Learning domain, preferably using Python

• Experience working with Deep Learning frameworks such as Pytorch, Scikit Learn, JAX/XLA or TensorRT

• Focused, learn quickly, and have strong analytical skills with attention to detail. Strong troubleshooting and debugging skills.

• Proven uses of creative thinking for solutions to exciting problems that matter.

Ways to stand out from the crowd:

• Experience with Large Language Models and application of deep learning to solve software engineering problems

• Hands-on compiler development or verification experience

• Knowledge of related programming languages and domains such as CUDA, Docker and GPU-Accelerated Cloud

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 140,000 USD - 224,250 USD.Applications for this job will be accepted at least until March 2, 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.