{"id":4180588,"url":"https://alion.io/job/clera-computer-vision-robotics-intern-5","title":"Computer Vision & Robotics Intern","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":40,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-12T10:38:37Z"}},"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":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"Localization","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenCV","optional":false},{"name":"Physical AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"ROS2","optional":false},{"name":"SLAM","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TensorRT","optional":false},{"name":"Visual-Inertial Odometry","optional":false}],"status":"closed","first_seen_at":"2026-11-12T17:18:39Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T00:27:14Z","board_verified":false,"closed_at":"2026-11-13T00:27:14Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin an early-stage physical AI team developing computer vision systems for manufacturing quality inspection. You will work directly with the founders on perception technology that identifies parts and process steps, and detects assembly deviations in real factory environments.\nWhat You'll Do\nBuild and improve computer vision pipelines for detection, classification, tracking, and temporal understanding.\n\nTest first-person perception in conditions such as camera motion, occlusion, motion blur, changing viewpoints, and variable lighting.\n\nUse synthetic and real-world data to find failure cases and improve model performance.\n\nTrain, evaluate, and debug vision models using PyTorch.\n\nExplore geometric vision, calibration, localization, pose estimation, and 3D perception.\n\nOptimize models for low-latency inference and edge deployment.\n\nBuild evaluation tools and support testing during factory deployments.\n\nWhat We're Looking For\nCurrently studying computer science, robotics, electrical engineering, mechanical engineering, or a related field.\n\nComfortable with Python and hands-on 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