Co-op - Robot Perception

Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility. Timeframe: Spring (Jan-May 2027) At Symbotic, Early Career talent plays a meaningful role in helping us reimagine the future of supply chain automation. Through our Internship and Co-op programs, students have the opportunity to contribute to real projects, collaborate with experienced engineers and business leaders, and gain hands-on exposure to the technologies powering our end-to-end robotics and automation solutions. We are looking for curious, motivated students who are excited to solve complex problems, bring new perspectives to cross-functional teams, and see their work make an impact in a fast-moving, innovative environment.     Along the way, Interns and Co-ops are supported through mentorship, professional development, networking opportunities, and a robust calendar of events designed to help them build community and grow their careers. Symbotic offers transportation and housing benefits for students who meet our relocation requirements.    Continue reading below to learn more about this exciting opportunity! About the Opportunities Symbotic’s Robot Perception team is an accomplished group of engineers who are working on sophisticated algorithms in areas such as perception and computer vision.   Bot Perception interns will evaluate and propose new projects for replacing legacy tools with vision-based algorithms. These interns will scope projects from literature review, to dataset design and aggregation, training pipeline development, all the way through production deployment. Practical projects include vision-based collision avoidance.   SLAM interns will develop and test algorithms for robust robot localization in complex, real-world environments, applying sensor fusion, state estimation, and probabilistic methods to solve SLAM challenges at scale. Industrial Vision interns will evaluate and enhance computer vision pipelines for accurate pose estimation of goods packaging in adapter cells using traditional and Machine Learning CV models. What you’ll do Research and experiment with traditional computer vision methods and deep learning methods for object detection, classification, segmentation, pose estimation, anomaly detection on images or videos. Evaluate and benchmark computer vision methods on production data. Deploy software to production on robot hardware. Design data pre and post processing methods. Document designs, code, experiments, evaluations. Identify high-impact scenarios where AI Planning and machine learning can be applied to optimize the Symbotic robotics software Adapt state-of-the-art approaches or develop high-performance algorithms to solve real-world multi-robot problems.…