Robotics & Computer Vision Integration Engineer

<h3>Key Responsibilities</h3><li>Integrate RGB/RGB-D cameras, depth sensors, IMUs, 6DoF trackers, and robotic/handheld grippers into data collection rigs.</li><li>Configure and validate multi-sensor systems for synchronized data capture.</li><li>Perform camera calibration, sensor calibration, and coordinate-frame alignment.</li><li>Configure and maintain ROS/ROS2 pipelines for sensor integration and data collection.</li><li>Implement and maintain data logging workflows using ROS bags, MCAP, or similar formats.</li><li>Develop tools and scripts in Python and/or C++ for system integration, testing, and data validation.</li><li>Troubleshoot hardware, software, networking, and synchronization issues across the collection setup.</li><li>Validate sensor data quality, timestamps, coordinate transforms, and system performance.</li><li>Develop repeatable data collection and validation workflows for robotics and embodied AI datasets.</li><li>Document system configurations, calibration procedures, troubleshooting steps, and collection protocols.</li><li>Collaborate with robotics, computer vision, and data collection teams to improve the reliability and scalability of the lab setup.</li><h3>Required Qualifications</h3><li>Professional experience with robotics, computer vision, sensor integration, or related engineering fields.</li><li>Strong programming skills in Python and/or C++.</li><li>Hands-on experience with ROS or ROS2.</li><li>Experience working with RGB/RGB-D cameras and depth sensors.</li><li>Understanding of camera calibration and coordinate transformations.</li><li>Experience with IMUs and/or 6DoF tracking systems.</li><li>Comfortable working in a Linux environment.</li><li>Experience with Git and standard software development workflows.</li><li>Strong troubleshooting and problem-solving skills.</li><li>Ability to work hands-on with both hardware and software.</li><li>Basic understanding of SLAM, VIO, or related localization/visual tracking concepts.</li><h3>Nice to Have</h3><h2>Experience with any of the following will be considered a strong advantage:</h2><ul>
<li>OAK-D</li>
<li>Intel RealSense</li>
<li>ZED cameras</li>
<li>VIVE / SteamVR / OpenXR</li>
<li>MCAP</li>
<li>Robotics data collection platforms or datasets</li>
<li>Robotic manipulators or grippers</li>
<li>Multi-camera synchronization</li>
<li>Hand tracking or motion capture systems</li>
<li>SLAM/VIO pipelines</li>
<li>Experience with embodied AI, robot learning, or manipulation datasets</li>
</ul>