Embodied AI Robotics Engineer — End-to-End Deployment

XDOF; San Mateo; On-site; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

Well-equipped hardware lab

Flexible work arrangements

Continued learning & tech-sharing

Job summary

XDOF is seeking a full-stack robotics engineer to own the end-to-end implementation of embodied AI capabilities on robots, spanning hardware, sensors, data pipelines, and algorithms. You will integrate and calibrate camera systems and robotic arms, and deploy imitation-learning-based control strategies with on-site tuning.

You will work across the full stack, ensuring data quality, writing deployment-friendly interfaces, and documenting processes.

Qualifications

• Bachelor's degree or above in Robotics/Automation/CS or related field with 3+ years of relevant experience.
• Strong Python/C++ programming; Linux system-level development and debugging.
• Expert in ROS/ROS2 with topics/services/actions, parameter management and Launch.
• Hands-on with camera systems (ZED/RealSense) and robotic arms; driver and kinematics knowledge.
• Experience training and deploying deep learning models (PyTorch).
• Fluent in written English.

Responsibilities

• Maintain embodied AI data collection system, covering multimodal sensor synchronization, data pipelines, storage, and downstream annotation toolchains.
• Own the integration, calibration, and routine maintenance of camera systems (ZED / RealSense / industrial cameras, etc.) and robotic arms, keeping equipment stable and operational.
• Independently own end-to-end deployment of imitation learning / DAgger / teleoperation algorithms on robots, including data collection, model training, inference deployment, and on-site tuning.
• Drive data quality assurance mechanisms: timestamp synchronization, coordinate frame alignment, anomalous data detection, and rapid diagnosis and repair of collection failures.
• Define and maintain robot-side software interfaces and communication protocols (ROS2 / DDS, etc.) to enable fast replication of collection stations and deployment stations across platforms and sites.
• Support on-site data collection and algorithm deployment, produce technical documentation, and continuously improve collection efficiency and model performance.

Skills

Python

C++

ROS/ROS2

Imitation learning

English proficiency

Education

Bachelor's degree or higher in Robotics/CS/related field

Tools

ROS2

PyTorch

ZED/RealSense/industrial cameras

UR/Franka/xArm

Linux

CAN/EtherCAT/RS485/USB

Job description

XDOF is seeking a full-stack robotics engineer to own the end-to-end implementation of embodied AI capabilities on robots, spanning hardware, sensors, data pipelines, and algorithms. You will integrate and calibrate camera systems and robotic arms, and deploy imitation-learning-based control strategies with on-site tuning.

You will work across the full stack, ensuring data quality, writing deployment-friendly interfaces, and documenting processes.