Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027
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.
The Isaac Loco-Manipulation team develops innovative robot learning technologies that enable humanoid and mobile robots for complex dexterous manipulation and loco-manipulation tasks. This internship combines ambitious applied research and thorough engineering across GR00T and Cosmos foundation models, Isaac Lab, Newton, synthetic data generation, simulation, and physical robot testing. As an intern, you will own a focused applied research project and collaborate with world-class researchers and engineers to turn novel ideas into validated robot capabilities. This outstanding opportunity allows you to immerse yourself in the forefront of AI and robotics, making a lasting impact on the future of technology.
What you’ll be doing:
Develop novel robot learning methods for advancing performance in humanoids and mobile manipulators for whole-body dexterous tasks.
Co-develop and advance GR00T and Cosmos robotics foundation models.
Develop robot-learning technologies to enable large scale deployment of robot autonomy.
Lead an applied research project from idea conception, prototype development, publication, and software open-source contribution.
What we need to see:
Pursuing a PhD degree or Master Degree in Robotics, Computer Science, or a related field.
Proven strong robotics research or engineering experience through academic projects, publications, and real robot experience.
Proficiency in Python and C++, with hands-on experience using deep-learning frameworks such as PyTorch, JAX, or TensorFlow.
Experience with physics simulators like Isaac Sim, Isaac Lab, or MuJoCo and transferring data or behaviors between simulated and physical systems.
Experience with world modeling and world action models.
Project or research experience in robot learning, including imitation learning or reinforcement learning, and robotics foundation models.
Ways to stand out from the crowd:
Strong publication record in leading robotics, computer-vision, or machine-learning journals or conferences such as CoRL, RSS, Science Robotics, ICRA, and CVPR.
Experience in learning robot behaviors from human videos or demonstrations.
Research or project depth in dexterous bimanual manipulation, whole-body control, or humanoid robotics.
Passion for transforming research prototypes into scalable robotics products widely embraced by the physical AI community. Successfully implement your ideas into impactful technologies!
NVIDIA is committed to fostering an inclusive 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.
NVIDIA is 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. If you're creative and autonomous, we want to hear from you!