NVIDIA Isaac develops tools to bring accelerated computing to robotics scientists and developers. We are looking for a self-motivated, hard-working, and innovative internship candidate to assist us in developing novel approaches to solve one of the hardest problems in robotics: spatial intelligence on humanoid robots. In particular, this internship will examine how recent advances in real-time scene understanding, neural, and optimization-based reconstruction can be applied to robotic manipulation. The anticipated results of this internship will be technical contributions to real-time GPU-accelerated spatial intelligence tools deployed on robot manipulators.

You will join NVIDIA’s Robotics Software team in Zurich, Switzerland, and work on real-time scene understanding and 3D reconstruction for robots. You will collaborate with the Isaac 3D perception team to develop GPU-accelerated tools and deploy them in simulation and on real robot hardware. The role requires on-site presence in our Zurich office.

What you'll be doing:

• Review literature and investigate state-of-the-art methods for real-time neural, optimization-based, and feed-forward reconstruction that could solve the unique challenges of robotic manipulation.

• Collaborate with the team on implementing novel reconstruction techniques with application to robotic manipulation.

• Work in simulation, where ground-truth data is available to measure the system’s performance.

• Repeatedly quantify and improve the performance of the system.

• Deploy algorithms to real robot hardware.

• Work in a highly collaborative environment with a small robotics team.

What we need to see:

• Experience in scene understanding, 3D reconstruction, or robot mapping.

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

• High proficiency in at least one programming language (c++ or python).

• Knowledge of common tools and libraries for computer vision (i.e. pytorch, opencv).

• Academic classes or coursework in machine learning, computer vision and/or robotics systems.

Ways to stand out from the crowd:

• Experience in neural reconstruction.

• Previous internship experience with robotics and/or computer vision systems.

• Previous contributions to a related software project.

• Academic publications in a relevant domain.

• Experience with tools used in the NVIDA robotic’s ecosystem (CUDA, warp, Isaac Lab, Isaac Gym, ROS).

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're a creative and autonomous research scientist with a genuine passion for real time graphics technology, we want to hear from you!

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.

Applications will be accepted until: December 11, 2025.

Please note: We will be reviewing applications on a rolling basis as they are submitted. Strong candidates may be contacted for next steps before the application deadline. We encourage you to apply early.