PhD Research Intern, Generalist Embodied Agents Research

🕒 September 17

🏄 California – Remote

🏄 California – Remote

💵 $38 - $94 / hour

⏰ Full Time

⚪️ Entry-level

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👻 Ghost score 3%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• 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, etc. • 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 computer infrastructure • Experience with multimodal foundation models or robotics • Hands-on training experience and publications in LLMs, vision-language models, video generative models, diffusion models, or action-based transformers, or in robot learning • 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, and whole body control • Familiarity with physics simulation frameworks such as Mujoco and Isaac suite

🏖️ Benefits

• Intern benefits

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