We are looking for a Software Engineer with strong programming and robotics capabilities to develop and deploy robotic data collection and embodied AI systems. This role will work across software, robotic platforms, sensors, data pipelines, and AI model deployment.
Responsibilities
• Develop and maintain software for robotic data collection and embodied AI systems
• Build and improve 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 other 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 both in the lab and on-site
• 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
• 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 working with robotic arms and their control interfaces, drivers, kinematics, or APIs
• Experience integrating sensors such as cameras, depth cameras, IMUs, or force/torque sensors
• Familiarity with hardware communication protocols such as CAN, EtherCAT, RS485, or USB
• Experience with PyTorch or other deep learning frameworks is a plus
• Experience deploying software or AI models on robotic/edge platforms is a plus
• Strong problem-solving and hands-on debugging skills
Nice to Have
• Experience with ROS/ROS2, DDS, or similar robotics middleware
• Experience with imitation learning, teleoperation, or embodied AI
• Familiarity with Diffusion Policy, ACT, VLA, or similar approaches
• Experience with robotic data formats such as ROS bag, HDF5, or LeRobot Dataset
• Experience with motion capture systems such as VIVE Tracker, OptiTrack, or motion capture gloves
• Experience with video processing, H.264/H.265, or NVIDIA Jetson
• Experience using AI-assisted development tools such as Cursor or Claude Code
• Strong English reading and writing skills, especially for technical documentation and research papers
What We’re Looking For
We are looking for an engineer who is not only comfortable writing code, but also understands how software interacts with real-world robotic systems.
Hands-on experience with robotic hardware, sensors, debugging, and deployment is highly valued.
Skills Required
- Bachelor's degree in Computer Science, Robotics, Automation, Mechanical Engineering, or a related field
- 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
- Strong problem-solving and hands-on debugging skills
- Experience with PyTorch or other deep learning frameworks
- Experience deploying software or AI models on robotic or edge platforms
- Experience with ROS, ROS2, DDS, or similar robotics middleware
- Experience with imitation learning, teleoperation, or embodied AI
- Familiarity with Diffusion Policy, ACT, VLA, or similar approaches
- Experience with ROS bag, HDF5, or LeRobot Dataset formats
- Experience with VIVE Tracker, OptiTrack, or motion capture gloves
- Experience with video processing, H.264/H.265, or NVIDIA Jetson
- Experience using Cursor or Claude Code
- Strong English reading and writing skills for technical documentation and research papers
What We Do
XDOF is the infrastructure partner for the world's most ambitious robotics builders, developing the tools, data, and services that accelerate the future of physical AI. They build the foundational infrastructure for robotics foundation models, including data collection systems, annotation pipelines, and exabyte-scale data infrastructure, helping frontier labs build general-purpose robots by solving the critical bottleneck of high-quality training data.
