11 months ago
Responsibilities
- Design, build, and deploy real-world robot learning systems across manipulation, locomotion, and control.
- Own robotics systems end to end, including simulation, data processing, model training, and deployment on real robots.
- Apply classical robotics and learning-based approaches while evaluating their trade-offs.
- Iterate robotics systems from 0 to 1 using feedback from real-world operation.
- Work with high-degree-of-freedom manipulators and mobile robots in simulation and on physical hardware.
- Contribute to technical foundations supporting large-scale robot learning and pursue state-of-the-art robotics techniques.
Requirements
- Bachelor's degree or equivalent experience in robotics, computer science, or a related field.
- Strong experience with Python and modern deep learning frameworks such as PyTorch or JAX.
- Full-stack experience across robot learning, including data processing, model training, and deployment.
- Experience designing, implementing, and deploying robot learning systems in research or production environments.
- Strong understanding of classical robotics techniques, learning-based approaches, and their trade-offs.
- Hands-on experience in one or more of robot manipulation, locomotion, navigation algorithms, imitation learning, generative modeling, or reinforcement learning.
- Ability to work across simulation and real hardware, including high-degree-of-freedom manipulators and mobile robots.
- Passion for robotics, state-of-the-art research, and working in fast-paced, ambiguous environments.
Categories
ML EngineeringRobotics
About XDOF
XDOF builds data, software, and operational infrastructure for robotics companies and research labs developing general‑purpose robots and physical AI. It provides scalable data collection, tooling, hardware integration, and services that help teams train, deploy, and manage autonomy systems. The company is privately held and positions itself as an infrastructure partner to frontier labs and robotics builders, with a team drawing experience from Tesla, Google, Applied Intuition, BAIR, Covariant, and Gatik.