NVIDIAMachine Learning Engineer - Humanoid Robotics
NVIDIA is hiring a Machine Learning Engineer - Humanoid Robotics in Shanghai, China. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this machine learning engineer role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, TensorFlow and JAX.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Develop machine learning algorithms and foundation models for humanoid robotics loco-manipulation and mobile manipulation.
NVIDIA is seeking exceptional machine learning engineers to join our world-class robotics initiatives focused on humanoid loco-manipulation. As part of the Isaac Loco-Manipulation team, you’ll collaborate with industry-leading experts, contribute to robotics foundation models including GR00T and Cosmos, and help define the future of humanoid robot capabilities. We are looking for strategic, ambitious, and creative individuals passionate about advancing the boundaries of robotics.This is demanding, cross-disciplinary work at the intersection of cutting-edge research and rigorous engineering.
What you'll be doing:
Collaborate with researchers and engineers to define and execute projects in humanoid robotics loco-manipulation and mobile manipulation areas.
Contribute to the development and advancement of GR00T and Cosmos foundation models.
Develop reference workflows with Isaac Lab and Newton for humanoid and mobile manipulation dexterous tasks.
Advance technologies for robot learning and synthetic data generation using human videos.
Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments.
Transfer innovations into products, with deliverables including prototypes, open source software contributions, patents, and/or publications in top conferences and journals.
Drive the full development lifecycle from model and algorithm design, with sim-to-real transfer, to rigorous on-robot validation and production deployment.
Collaborate cross-functionally with teammates and partners to share best practices and advance shared goals.
What we need to see:
This role prioritizes candidates with proven execution bandwidth of applied research and engineering and a strong delivery track record on robotics platforms.
PhD or Master’s degree in Robotics, Computer Science, or a related field (or equivalent experience).
3+ years of experience working on robotics software.
Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and physics simulation tools like Isaac Sim/Lab or MuJoCo.
Expertise in foundation models for robotics and 3D perception.
Experience with sim-to-real and real-to-sim transfer in robotics.
Deep knowledge of robot learning, including imitation and reinforcement learning.
Hands-on experience of real robot testing, humanoid experience is preferred.
Strong software engineering fundamentals, including proficiency in C++ and Python.
Ways to stand out from the crowd:
Experience learning from human video demonstrations or human-object reconstruction.
Expertise in dexterous bimanual manipulation or whole-body control.
Proven track record in robotics research, including publications in top conferences (e.g., RSS, ICRA, CoRL, NeurIPS, CVPR, ICLR).
Demonstrated technical leadership experience.
How we rate this
Machine Learning Engineer - Humanoid Robotics at NVIDIA rates 100 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $198k
This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where robotics was part of your work. What did you do?
- Tell me about a project where reinforcement learning was part of your work. What did you do?
- Tell me about a project where foundation models was part of your work. What did you do?
- Walk me through how you've used PyTorch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Machine learning, Robotics, Reinforcement learning, Foundation Models, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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