PhD Research Intern, Generalist Embodied Agents Research - 2027
$38 - $94 USD yearly
Originally posted 17 September 2026 by the employer — open 1 day.
This role focuses on building humanoid robot foundation models and systems, including Project GR00T.
About the role
This PhD Research Intern role involves building humanoid robot foundation models and systems within the Generalist Embodied Agent Research (GEAR) group. You will contribute to moonshot research projects and product roadmaps, including Project GR00T, a foundation model for humanoid robots.
What you'll do
- 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 to transfer research to products and services.
What you'll need
- 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.).
- Proficiency in Python.
- Excellent skills in working with large-scale machine learning/AI systems and computer infrastructure.
- Experience with multimodal foundation models or robotics.
- For Multimodal Foundation Model: Hands-on training experience and publications in LLMs, vision-language models, video generative models, diffusion models, and action-based transformers.
- For Robotics: Hands-on training experience and publications in robot learning (reinforcement learning, imitation learning, classical control methods).
- 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.
- Familiarity with physics simulation frameworks such as Mujoco and Isaac suite.
Nice to have
- C++ proficiency.
- CUDA proficiency.
Skills: AI algorithms, foundation models, robot learning, PyTorch, robot hardware
This role has been open 0 days — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
512
|
Median days open
65 d
|
Median salary
$226k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (512 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 85 | 512 |
| Open roles in the wider Software, Firmware & Systems family | 955 | 5856 · 143 employers |
| Median days open | 64 d | 65 d (−1 d vs this employer) |
| Median salary (USD postings) | — | $226k |
Skills observed across this category: AI algorithms, foundation models, robot learning, PyTorch, robot hardware
Who's hiring in this category
- Qualcomm · 105 open roles · median 99 d
- NVIDIA (this employer) · 85 open roles · median 64 d
- AMD · 42 open roles · median 65 d
- Micron Technology · 32 open roles · median 36 d
- Mobileye · 25 open roles · median 50 d
- Analog Devices · 14 open roles · median 21 d
How we counted: 512 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 18 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.