---
title: PhD Research Intern, Generalist Embodied Agents
description: NVIDIA is hiring for the PhD Research Intern, Generalist Embodied Agents Research
  role in Santa Clara, CA. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/phd-research-intern-generalist-embodied-agents-research-at-nvidia-01a0b1bb-b5fb-7313-80a7-5e21365cf94d
date: 2026-11-15T01:26:44Z
og_description: Join NVIDIA as PhD Research Intern, Generalist Embodied Agents Research in Santa
  Clara, CA. Pays $38–$94 per hour. Intern role.
og_image: https://www.foundrole.com/og/hg4h3f.png
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  - label: Home
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---

| | |
|---|---|
| **Company** | [NVIDIA](https://www.foundrole.com/companies/nvidia?utm_source=ai_markdown) |
| **Location** | Santa Clara, CA |
| **Salary** | $38/hr - $94/hr |
| **Type** | Intern |
| **Posted** | Oct 12, 2026 |

## Is this job real?

**Ghost job check:** A- · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** NVIDIA sponsors H-1B visas. It filed 3,120 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for NVIDIA.

## Pay for similar jobs

Most similar jobs pay about $137,000 a year.

## Description

NVIDIA is searching for an outstanding research intern to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world.

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 [Eureka](https://eureka-research.github.io/), [VIMA](https://vimalabs.github.io/), [Voyager](https://voyager.minedojo.org/), [MineDojo](http://minedojo.org/), [MimicPlay](https://mimic-play.github.io/), [Prismer](https://github.com/NVlabs/prismer), and more. One of our team’s most recent milestones includes [Project GR00T](https://developer.nvidia.com/project-gr00t), a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps.

**What you will be doing:**

- 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 all of NVIDIA to transfer research to products and services.

**What we need to see:**

- 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 at least one of the following areas: multimodal foundation model or robotics.
- 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.

GEAR Publication:

- DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
- EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data
- DreamZero: World Action Models are Zero-shot Policies
- SONIC: Supersizing motion tracking for natural humanoid whole-body control

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and embodied agents!

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 38 USD – 94 USD.

You will also be eligible for Intern [benefits](https://www.nvidia.com/en-us/benefits/interns/). ​

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.
## Skills

- Machine Learning Model Training
- Rapid Prototyping
- Robotics
- Python
- Vision-Language Models (Vlm)
- Foundation Models
- Physics Simulation
- Artificial Intelligence
- Algorithms
- Scale AI
- Sensor Systems
- Microsoft Dynamics
- Principles of Animation
- MuJoCo
- Laboratory Equipment
- Model Predictive Control (Mpc)
- C++
- Imitation Learning
- Simulations
- JAX
- Kinematics
- Large Language Models (Llm)
- NVIDIA CUDA
- Computer Science
- Reinforcement Learning
- Electrical Engineering
- Machine Learning
- Electrical Machines
- Robotic Manipulation
- Generative AI Foundations
- Multimodal AI
- Diffusion Models
- TensorFlow

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