Member of Technical Staff, Robotics

XDOF; San Mateo (CA); On-site; PHP 900,000 - 1,200,000; Full time

Job summary

XDOF is seeking a talented engineer to advance robot learning across simulation and real hardware. You will drive end-to-end development from data processing to model training and deployment, applying both classical robotics and learning-based approaches.

The role emphasizes rapid iteration, experimentation, and ownership in a fast-paced environment where state-of-the-art methods push system capabilities beyond existing limits.

Qualifications

• Bachelor's degree in Robotics, CS, or related field.
• Strong experience with Python and PyTorch or JAX.
• Full stack experience across robot learning, including data processing, model training, and deployment.
• Experience deploying robot learning systems in research or production environments.
• Solid understanding of classical robotics vs learning-based approaches.

Responsibilities

• Take a robotics system from 0 to 1 and iterate quickly based on real world feedback.
• Work across simulation and real hardware, including high-DOF manipulators and mobile robots.
• Design, implement, and deploy robot learning components.
• Stay at the forefront of state-of-the-art techniques, tools, and research.
• Thrive in fast-paced, ambiguous environments with undefined solutions.

Skills

Python

Deep learning

PyTorch

JAX

Robot learning

Data processing

Education

Bachelor's degree in Robotics/CS

Job description

Baseline skills:

• 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 both classical robotics techniques and learning based approaches, and the trade offs between them

You might be a good fit if you:

• Can take a robotics system from 0 to 1 and iterate quickly based on real world feedback

• Have hands on experience in one or more of the following areas: robot manipulation, locomotion, navigation algorithms, imitation learning, generative modeling, and/or reinforcement learning

• Are comfortable working across simulation and real hardware, including high degrees of freedom manipulators and mobile robots

• Are obsessed with state of the art techniques, tools, and research, and enjoy pushing systems beyond what already exists

• Thrive in fast paced, ambiguous environments where solutions are not predefined

• Are mission driven and passionate about robotics: work at XDOF is fast paced and constant. We hope you love what you're going to be doing, because you'll be doing a lot of it.