Research Intern
Are you applying to the internship?
Job Description
About NVIDIA:
NVIDIA is a leading technology company known for its graphics processing units (GPUs) and artificial intelligence (AI) advancements. They are considered one of the most desirable employers in the tech world, attracting forward-thinking and productive individuals.
Job Description:
NVIDIA is seeking an outstanding research intern to join their Generalist Embodied Agent Research (GEAR) group. This team is dedicated to developing general-purpose embodied agents capable of learning and mastering complex skills in both virtual and physical environments.
Mission: Build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world.
Responsibilities:
• Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents.
• Develop large-scale AI training and inference methods for foundation models.
• Optimize and deploy AI models in physical simulation and on robot hardware.
• Collaborate with research and engineering teams across NVIDIA to transfer research to products and services.
Requirements:
• Pursuing a PhD degree in Computer Science/Engineering, Electrical Engineering, or a related field.
• Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a plus.
• Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.
• Experience with at least one of the following areas:
• Multimodal Foundation Model: Hands-on training experience and publications in at least one of the following models: LLMs, vision-language models, video generative models, diffusion models, and action-based transformers.
• Robotics: Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.
• Deep understanding of robot kinematics, dynamics, and sensors.
• Ability to safely operate robot hardware, lab equipment, and tools.
• Knowledge of control methods, such as PID, MPC, whole body control, etc.
• Familiarity with physics simulation frameworks such as Mujoco and Isaac suite.
Benefits:
• Competitive hourly rate (16 USD – 88 USD) based on location, year in school, degree, and experience.
• Eligibility for intern benefits.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.
