The Software Co-op will work as a member of our robotics software team, applying computer vision and machine learning techniques to solve real-world perception challenges in automated systems. This role will collaborate closely with multidisciplinary engineering teams to develop, test, and deploy perception solutions that improve system performance and reliability. Responsibilities will focus on evaluation, prototyping, and validation of perception algorithms and sensor systems. This role will be onsite at the Bedford, MA office. This position will run from approximately July to December 2026 (dates flexible). Functions: Collaborate with software, hardware, and systems engineers to design, test, and validate perception approaches. Support evaluation and testing of perception sensors, including cost-down alternatives and performance benchmarking. Develop and test computer vision and machine learning models (e.g., depth completion, stereo vision, object detection). Explore and implement model-based approaches to improve perception pipeline performance and reduce system bring-up time. Investigate the use of vision-language models (VLMs) for applications such as grasp ranking, SKU identification, and anomaly detection. Utilize simulation tools to evaluate and improve perception models and system performance. Develop, debug, and deploy software components for robotic systems in a Linux/ROS environment. Document test results and present findings to the engineering team. Qualifications: Actively pursuing a bachelor’s or master’s degree in Computer Engineering, Computer Science, Robotics, or a related field Experience programming in Python and/or C++ Experience developing in Linux (Ubuntu) and familiarity with ROS Familiarity with robotics and computer vision (classical and/or learning-based approaches) Experience with computer vision or machine learning libraries (e.g., OpenCV, PyTorch) Solid understanding of object-oriented design, data structures, and algorithms Strong analytical, debugging, and problem-solving skills Strong written and verbal communication skills Curious, self-motivated, and eager to learn COOP-2611