NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s motivated 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.

What you’ll be doing:

• Develop and implement AI algorithms working with raw sensor data for various domains and modalities (including medical imaging) to extract insights directly from raw data and improve reconstruction

• Develop and optimize GPU-accelerated simulation methods to build realistic raw signal datasets for a wide range of modalities

• Collaborate closely with customers and internal teams to integrate raw signal to insights solutions into product development pipelines, driving real-world impact.

What we need to see:

• Bachelor’s degree (or equivalent experience) in Computer Science, Software Engineering, or a related degree with a proven record of delivering products.

• 8 plus years of research and/or sophisticated product development experience in medical imaging or other related domains, with a focus on raw sensor data processing.

• Hands-on experience developing GPU-accelerated simulation methods, including performance optimization and scalability.

• Proven ability to collaborate in the creation of innovative solutions.

• Strong familiarity with ML frameworks such as PyTorch, JAX, etc.

Ways to stand out from the crowd:

• Experience in robotics or surgical vision systems, applying advanced AI techniques to assist in healthcare procedures.

• PhD or equivalent experience in Biomedical Engineering, Computer Science, Electrical Engineering, or a related technical field.

• Experience with physics-informed neural networks, demonstrating the ability to build models that incorporate physical laws into AI predictions.

• Proven track record of developing GPU accelerated simulation tools.

• Publications at top medical imaging conferences such as MICCAI, IUS, etc.

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 forward-thinking, resourceful and dedicated people in the world working with us and our engineering teams are growing fast in some of the hottest innovative fields: Quantum Computing, Artificial Intelligence, and Autonomous Vehicles. Are you a creative and autonomous engineer with a real passion for machine learning, computational chemistry, data science & parallel computing? If so, we want to hear from you.

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.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.