Robotics Software Intern - Sim-to-Real - Switzerland, Zurich | Nvidia Job

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.

As a Robotics Software Intern on the Isaac Applications Team, you will help build the platform for Physical AI robots — enabling sim-first development, real-world deployment, and continuous learning to make them smarter over time. The ideal candidate will have strong software engineering skills for (soft) realtime robotics applications and real-world experience with multi-body robots, such as humanoids or quadrupeds.

What you'll be doing:

• Bring the latest advancements in Physical AI to simulated and real humanoid robots by building the humanoid reference platform showcasing the power of NVIDIA's technology.

• Collaborate across team boundaries to integrate NVIDIA robotics products such as Thor and Isaac Sim / Isaac Lab into one solution for humanoid robots.

• Opportunity to work in a professional software development team in a corporate environment. 

What we need to see:

• Currently pursuing a degree in Computer Science, Robotics, Engineering, or a related field (Ms or PhD).

• Proficiency in C++ and Python programming languages.

• Experience with simulated and real robots.

• Knowledge of common tools and libraries for robotics and learning (i.e. pytorch, Cuda, ROS2, physics simulators like Isaac Sim and MuJoCo).

• Academic classes or coursework in machine learning, control and robotics systems.

• Deployment experience on robots (sim2real).

Ways to stand out from the crowd:

• Previous internships or hands-on experience with robotic systems in a commercial or academic setting.

• Experience with NVIDIA robotics tools (Isaac Lab, Isaac ROS) and hardware (Jetson platform).

• Experience with humanoid robots.

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We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.