Humanoid Robot Learning Intern, Isaac Loco-Manipulation - 2027 - Shanghai, China
Originally posted 15 September 2026 by the employer — open 3 days.
This internship focuses on advancing GR00T and Cosmos foundation models within Isaac Loco-Manipulation.
About the role
This internship involves developing innovative robot learning technologies for humanoid and mobile robots for complex dexterous manipulation and loco-manipulation tasks. This role combines applied research and engineering across GR00T and Cosmos foundation models, Isaac Lab, Newton, synthetic data generation, simulation, and physical robot testing.
What you'll do
- Develop novel robot learning methods for advancing performance in humanoids and mobile manipulators for whole-body dexterous tasks.
- Co-develop and advance GR00T and Cosmos robotics foundation models.
- Develop robot-learning technologies to enable large scale deployment of robot autonomy.
- Lead an applied research project from idea conception, prototype development, publication, and software open-source contribution.
What you'll need
- Pursuing a PhD degree or Master Degree in Robotics, Computer Science, or a related field.
- Strong robotics research or engineering experience through academic projects, publications, and real robot experience.
- Proficiency in Python and C++, with hands-on experience using deep-learning frameworks such as PyTorch, JAX, or TensorFlow.
- Experience with physics simulators like Isaac Sim, Isaac Lab, or MuJoCo and transferring data or behaviors between simulated and physical systems.
- Experience with world modeling and world action models.
- Project or research experience in robot learning, including imitation learning or reinforcement learning, and robotics foundation models.
Skills: robot learning, humanoid robots, GR00T, Cosmos foundation models, Isaac Sim, deep-learning frameworks
This role has been open 2 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 | 5844 · 143 employers |
| Median days open | 64 d | 65 d (−1 d vs this employer) |
| Median salary (USD postings) | — | $226k |
Skills observed across this category: robot learning, humanoid robots, GR00T, Cosmos foundation models, Isaac Sim, deep-learning frameworks
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.