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You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include
What you will be doing:
Work with world-class researchers at NVIDIA to develop robust AI solutions for general-purpose humanoid robots and embodied agents;
Develop large-scale AI training and inference infrastructure for foundation models;
Develop robust and scalable data pipelines;
Systematically evaluate and analyze AI models in physical simulation and on robot hardware;
Collaborate with research and engineering teams across all of NVIDIA to ensure your software integrates seamlessly up and down the stacks.
What we need to see:
Pursuing a Bachelors, Masters, or PhD degree in Computer Science/Engineering, Electrical Engineering, etc.
Outstanding engineering skills for rapid prototyping and product development. Python is required; C++ and CUDA proficiencies are a plus.
Knowledge in machine learning frameworks like PyTorch, Jax, Tensorflow and/or robotics frameworks like ROS.
Experience with at least one of the following areas: large-scale AI systems or practical robotics systems.
Large-scale AI systems:
Excellent knowledge and hands-on experience in working with large-scale machine learning/AI systems and compute infrastructure;
Hands-on training experience with LLM or vision-language models;
Expertise in building foundation model training data pipelines.
Practical robotics systems
Deep understanding of robot kinematics, dynamics, and sensors;
Ability to safely operate robot hardware, lab equipment, and tools;
Experience with rapid prototyping technologies, such as CAD design and 3D fabrication;
Knowledge of control methods, such as PID, MPC, whole body control, etc;
Familiarity with physics simulation frameworks such as Mujoco and Isaac suite.
You will also be eligible for Intern
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