Director, BioNemo Software

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.

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. NVIDIA is looking for an exceptional software leader to guide our Santa Clara, CA team in groundbreaking drug discovery solutions.

What you'll be doing:

As the Director - BioNemo Software, you will:

• Lead and encourage a large team of engineers to deliver flawless production software solutions

• Coordinate the development, optimization and productization of deep learning models for drug discovery

• Collaborate with cross-functional teams to ensure the seamless integration of our software within the broader NVIDIA ecosystem

• Drive the strategic vision and execution of building a path to enable drug discovery and biological discovery to happen in silicon

• Identify and consistently follow standard methodologies in software engineering to guarantee our solutions are both robust and scalable.

• Determine key applied research opportunities that enable simulation and workflow acceleration for biology and drug discovery

What we need to see:

• 15+ overall years of experience in leading large teams to successfully implement production software.

• 8+ years of management experience.

• Extensive knowledge and hands-on experience with deep learning and its applications in drug discovery.

• Strong background in computational methods and a track record of delivering world-class software solutions.

• Outstanding leadership skills with a focus on collaboration and inclusion.

• A Master’s degree or equivalent experience in Computer Science, Engineering, and/or or related fields in the Biological Sciences (advanced degrees preferred).

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 outstanding growth, our best-in-class 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 320,000 USD - 488,750 USD for Level 5, and 384,000 USD - 575,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 27, 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.