Overview
Project Overview
Full job description
Project Overview We are building a robotics data collection lab focused on bimanual manipulation and embodied AI datasets. We are looking for a Robotics & Computer Vision Integration Engineer to help design, integrate, and validate synchronized sensor and robotics data collection systems. In this role, you will work with cameras, depth sensors, IMUs, 6DoF tracking systems, and robotic or handheld grippers to build reliable, repeatable data collection rigs. You will be responsible for hardware and software integration, sensor calibration and synchronization, coordinate-frame alignment, data logging, and collection workflow validation. What We’re Looking For We are looking for someone who is comfortable moving between hardware integration, robotics software, and data quality validation. The ideal candidate is hands-on, technically curious, and able to diagnose problems across the full sensor-to-dataset pipeline. Experience building or maintaining real-world robotics systems is especially valuable, as the role requires turning individual sensors and components into a stable, synchronized, and repeatable data collection system.
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.
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.
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
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