Robotics Engineer Intern
EmbodyX
Belmont, CAFresher2h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- PythonC++Deep learningPyTorchLinux
- Work
- On-site in Belmont · internship
- Pay
- Not stated by the employer.
- Skill demand
- Python30%C++18%PyTorch3%Deep learning1%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 4, 2026 · still open
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About the Role
EmbodyX is developing next-generation Physical AI and robotics software. The Robotics Engineer Intern will work on the development, evaluation, and deployment of state-of-the-art robot foundation models and embodied AI systems. This is a deployment-oriented role, potentially involving on-site work at customer facilities for extended periods.
Key Responsibilities
- Develop, optimize, and deploy robotic manipulation pipelines using commercial robotic platforms (e.g., Interbotix, WidowX, Kinova, Unitree, ABB).
- Implement, train, and evaluate state-of-the-art imitation learning, reinforcement learning, and Vision-Language-Action (VLA) models, including ACT, OpenVLA, π0, Lingbo-VA, and emerging foundation models.
- Build and extend simulation environments using Isaac Lab, Isaac Sim and related simulators for scalable data generation and sim-to-real transfer.
- Collaborate with cross-functional engineering teams to deploy robotic AI solutions in industrial environments such as warehouses and manufacturing facilities.
- Analyze deployment results, identify failure modes, and continuously improve system robustness and performance.
Requirements & Tech Stack
- Strong programming skills in Python and C++.
- Experience with robotics software frameworks such as ROS/ROS2.
- Experience with simulation platforms including Isaac Lab, Isaac Sim, or similar.
- Strong experience with PyTorch and modern deep learning workflows.
- Familiarity with reinforcement learning, imitation learning, diffusion policies, or Vision-Language-Action models.
- Experience working in Linux environments and GPU computing.
- Strong research skills with the ability to read, implement, and improve upon recent academic publications.
- Excellent problem-solving, communication, and vibe-coding skills.
Qualifications
- Bachelor, Master or Ph.D. in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field (or equivalent industry research experience).
Travel
The role may require extended on-site work at customer facilities, and the primary work location may change. Domestic and international travel may also be required for customer deployments, field testing, and industry conferences. Business travel expenses will be covered.