11 months ago
San Mateo, CA, USAMid Level
H1B sponsor
Base Salary
$175k - $275k/yr
Responsibilities
- Design, build, and deploy real-world robot learning systems across manipulation, locomotion, and control.
- Own robotics systems end to end from simulation and model training through deployment on real robots.
- Process data, train models, and deploy robot learning systems in research or production environments.
- Work across simulation and real hardware, including high-degree-of-freedom manipulators and mobile robots.
- Apply classical robotics and learning-based techniques while evaluating their trade-offs.
- Iterate robotics systems from initial concept through real-world feedback and help define foundations for large-scale robot learning.
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.
- Comfort working with simulation and real hardware, including high-degree-of-freedom manipulators and mobile robots.
- Interest in state-of-the-art robotics techniques, tools, and research, with the ability to work in fast-paced and 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.