27 days ago
Jakarta, IndonesiaMid Level
Responsibilities
- Develop and maintain software for robotic data collection and embodied AI systems.
- Build data pipelines for multimodal sensor-data synchronization, storage, and processing.
- Develop and deploy teleoperation and imitation-learning systems on robotic platforms.
- Integrate robotic arms, sensors, and hardware with software systems.
- Develop software interfaces and communication protocols between robotic components.
- Perform data-quality checks, synchronization, coordinate alignment, and anomaly detection.
- Deploy and optimize AI models on robotic systems.
- Troubleshoot and improve robotic systems in laboratory and on-site environments.
- Collaborate with engineering teams to improve system reliability, data-collection efficiency, and model performance.
- Create technical documentation for systems and deployment processes.
Requirements
- Bachelor’s degree in Computer Science, Robotics, Automation, Mechanical Engineering, or a related field.
- At least 2 years of relevant experience in Software Engineering, Robotics, Automation, or a similar field.
- Strong programming skills in Python and C++.
- Strong experience with Linux development and debugging.
- Experience with robotic arms and their control interfaces, drivers, kinematics, or APIs.
- Experience integrating cameras, depth cameras, IMUs, or force/torque sensors.
- Familiarity with CAN, EtherCAT, RS485, or USB communication protocols.
- Experience with PyTorch or other deep learning frameworks is preferred.
- Experience deploying software or AI models on robotic or edge platforms is preferred.
- Strong problem-solving and hands-on debugging skills.
- Experience with ROS/ROS2, DDS, or similar robotics middleware is preferred.
- Experience with imitation learning, teleoperation, embodied AI, robotic data formats, motion capture systems, video processing, or NVIDIA Jetson is preferred.
- Strong English reading and writing skills for technical documentation and research papers is preferred.
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.