Robotics & Computer Vision Integration Engineer

Key Responsibilities • Integrate RGB/RGB-D cameras, depth sensors, IMUs, 6DoF trackers, and robotic/handheld grippers into data collection rigs.

• Configure and validate multi-sensor systems for synchronized data capture.

• Perform camera calibration, sensor calibration, and coordinate-frame alignment.

• Configure and maintain ROS/ROS2 pipelines for sensor integration and data collection.

• Implement and maintain data logging workflows using ROS bags, MCAP, or similar formats.

• Develop tools and scripts in Python and/or C++ for system integration, testing, and data validation.

• Troubleshoot hardware, software, networking, and synchronization issues across the collection setup.

• Validate sensor data quality, timestamps, coordinate transforms, and system performance.

• Develop repeatable data collection and validation workflows for robotics and embodied AI datasets.

• Document system configurations, calibration procedures, troubleshooting steps, and collection protocols.

• Collaborate with robotics, computer vision, and data collection teams to improve the reliability and scalability of the lab setup. Required Qualifications • Professional experience with robotics, computer vision, sensor integration, or related engineering fields.

• Strong programming skills in Python and/or C++.

• Hands-on experience with ROS or ROS2.

• Experience working with RGB/RGB-D cameras and depth sensors.

• Understanding of camera calibration and coordinate transformations.

• Experience with IMUs and/or 6DoF tracking systems.

• Comfortable working in a Linux environment.

• Experience with Git and standard software development workflows.

• Strong troubleshooting and problem-solving skills.

• Ability to work hands-on with both hardware and software.

• Basic understanding of SLAM, VIO, or related localization/visual tracking concepts. Nice to Have Experience with any of the following will be considered a strong advantage:

• OAK-D

• Intel RealSense

• ZED cameras

• VIVE / SteamVR / OpenXR

• MCAP

• Robotics data collection platforms or datasets

• Robotic manipulators or grippers

• Multi-camera synchronization

• Hand tracking or motion capture systems

• SLAM/VIO pipelines

• Experience with embodied AI, robot learning, or manipulation datasets