Shanghai, Shanghai, CN
Open 6 months, first seen by us 183 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Develop and deploy locomotion and manipulation algorithms in simulation and on real robots
Drive models through sim-to-real transfer and on-robot validation to production
Contribute to GR00T and Cosmos robotics foundation models
Build reference workflows with Isaac Lab and Newton for humanoid dexterous tasks
Advance robot learning and synthetic data generation from human videos
Design, implement, and deploy novel algorithms for humanoid robot locomotion and manipulation in both simulated and real-world environments.
Drive the full development lifecycle from model and algorithm design, with sim-to-real transfer, to rigorous on-robot validation and production deployment.
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.
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.
Open 6 monthsWe first saw this posting 183 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 183
Up longer than most. Similar jobs usually come down between day 8 and day 75.
Well past NVIDIA’s usual: its jobs come down by about day 32.
From 5,297 similar postings that came down, and 106 of NVIDIA’s. Coming down is not always a hire.
104 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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* 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:
* 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.
Complete your application on jobs.nvidia.com. The employer’s form will show what is required.
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New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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Shanghai, Shanghai, CN
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