Software Engineer

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