{"id":1101761,"url":"https://alion.io/job/symbotic-robot-perception","title":"Intern- Robot Perception","company":{"id":5383,"name":"Symbotic","domain":"symbotic.com","url":"https://alion.io/company/symbotic","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":13,"ghost_share":0,"stale_share":0.462,"repost_share":0.077,"time_to_fill_p50_days":42,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wilmington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":71000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":408},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Linux","optional":false},{"name":"Localization","optional":false},{"name":"Machine Learning","optional":false},{"name":"ONNX","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"robot_localization","optional":false},{"name":"ROS","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"SLAM","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Vision-Language-Action","optional":false}],"status":"live","first_seen_at":"2026-09-21T23:27:41Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-11-07T06:26:41Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Who we are\nWith 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.\nTimeframe: Summer (May-Aug 2027)\nAtSymbotic, Early Career talent plays a meaningful role in helping us reimagine the future of supply chain automation. Through our Internship and Co-op programs, studentshave the opportunity tocontribute 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.\nAlong 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.Symboticoffers transportation and housing benefits for students who meet our relocation requirements.\nContinue reading below to learn more about this exciting opportunity!\nAbout the Opportunities\nSymbotic’sRobot Perceptionteam is an accomplished group of engineers who are working on sophisticated algorithms in areas such asperceptionand computer vision.\nPerception and Computer Vision interns will evaluate and propose new projects for replacing legacy tools with vision-based algorithms. These interns will scope projectsfrom literature review,to dataset design and aggregation, training pipeline development, all the way through production deployment. Practical projects include vision-based collision avoidance.\n\nSLAM internswill 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.\n\nWhatyou’lldo\nResearch and experiment with traditional computer vision methods and deep learning methods for object detection, classification, segmentation, pose estimation, anomaly detection on images or videos.\n\nEvaluate and benchmark computer vision methodsonproduction data.\n\nDeploy software to production on robot hardware.\n\nDesign data pre and post processing methods.\n\nDocument designs, code, experiments, evaluations.\n\nIdentifyhigh-impact scenarios where AI Planning and machine learning can be applied tooptimizetheSymboticrobotics software.\n\nAdaptstate-of-the-artapproaches or develop high-performance algorithms to solve real-worldmulti-robot problems.\n\nConduct simulations and experiments tovalidatethe performance of the multi-robot algorithms.\n\nPresent results in verbal and written communications internally, and in top-tier academic venues.\n\nWhatyou’llneed\nPursuing aMaster’sor PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.\n\nProficiencyin Python and/or C++, including experience writing code and working in Jupyter notebooks.\n\nExperience with machine learning frameworks such asPyTorchor TensorFlow.\n\nFamiliarity with computer vision and perception tools such as OpenCV, including image classification, object detection, segmentation, and camera calibration.\n\nExposure to roboticsperceptionconcepts such as sensor fusion, SLAM, 3Dposerepresentations, coordinate transforms, probabilistic graphical models, and Bayesian inference.\n\nWorking knowledge of sensors, including RGB cameras, 3D sensors, and point cloud processing tools such as PCL.\n\nExperience working in Linux environments and using command-line tools.\n\nFamiliarity with cloud platforms such as AWS or Azure, REST APIs, and/or SQL-based data tools such as Snowflake.\n\nExposure to deployment or optimization tools such as Docker, ROS/ROS 2, Jetson, ONNX, VLMs, or Vision-Language-Action models is a plus.\n\nWhat’sgood to have\nPublicationsat high-impact conferences/journals (e.g.,CoRL, ICLR,NeurIPS, ICML, ICLR, RSS, ICRA,IROS, RAL, AAAI, ICAPS, IJCAI, JAIR, etc.)\n\nOur Environment\nUp to 10% of travel may berequired. Employees must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations.\n\nThe employeeis responsible forowning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.\n\nAbout Symbotic\nSymbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.\nWe are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That’s why we’re proud to be an equal opportunity employer.\nWe do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.\nThe base range for this position in the posted location is $32.00 - $44.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. 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