AI Developer Technology Intern, Robotics - 2027 - China
Originally posted 26 August 2026 by the employer.
About the role
This role involves optimizing application performance on NVIDIA platforms, with a specific focus on Robotics Foundation Model training and inference to power intelligent robotic systems.
What you'll do
- Develop and optimize training pipelines for robotics foundation models on NVIDIA GPU clusters.
- Profile, analyze, and optimize model inference performance on NVIDIA platforms.
- Apply modern DL/ML techniques to real-world robotics problems.
- Collaborate with NVIDIA architecture, research, libraries, tools, and system software teams.
- Build samples, reference implementations, and documentation for NVIDIA robotics AI technologies.
What you'll need
- Currently pursuing a Master’s or PhD degree in Computer Science, Robotics, AI/ML, Electrical Engineering, or a related technical field.
- Strong programming skills in Python.
- Experience with deep learning frameworks (PyTorch,).
- Understanding of transformer architectures and large-scale model training.
- Basic knowledge of robotics concepts (kinematics, control, perception, or simulation).
Nice to have
- Familiarity with C/C++ and CUDA.
- Experience with distributed training (DeepSpeed, Megatron-LM, FSDP, NeMo).
- Experience with inference optimization (SGlang, vLLM).
- Familiarity with NVIDIA robotics platforms (Isaac Sim, Isaac Lab, GR00T).
- Publications or project experience in embodied AI or robotics foundation models.
Skills: robotics foundation models, GPU clusters, model inference optimization, DL/ML techniques, NVIDIA platforms
This role has been open 29 days — well below the 69-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
517
|
Median days open
69 d
|
Median salary
$232k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (517 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 86 | 517 |
| Open roles in the wider Software, Firmware & Systems family | 972 | 5925 · 143 employers |
| Median days open | 70 d | 69 d (+1 d vs this employer) |
| Median salary (USD postings) | — | $232k |
Skills observed across this category: robotics foundation models, GPU clusters, model inference optimization, DL/ML techniques, NVIDIA platforms
Who's hiring in this category
- Qualcomm · 109 open roles · median 99 d
- NVIDIA (this employer) · 87 open roles · median 70 d
- AMD · 44 open roles · median 62 d
- Micron Technology · 32 open roles · median 42 d
- Mobileye · 21 open roles · median 58 d
- Analog Devices · 14 open roles · median 27 d
How we counted: 517 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 24 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.