{"id":3260233,"url":"https://alion.io/job/clera-founding-engineer-computer-vision-robotics-4","title":"Founding Engineer, Computer Vision & Robotics","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":30,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Robotics","role_family":"Robotics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"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":"Perception","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":"live","first_seen_at":"2026-10-26T02:47:58Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-30T16:03:51Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"About the Role\nJoin an early-stage industrial automation team as its first engineer, building computer vision systems that understand manual work in factory settings. You will take perception from experimentation through reliable production deployment, starting with real-time quality inspection.\nWhat You'll Do\nBuild perception capabilities for detection, classification, tracking, temporal understanding, and 3D vision.\n\nDevelop first-person vision systems that handle camera motion, changing viewpoints, occlusion, motion blur, and varied lighting.\n\nWork with the technical leadership team to turn field failures into improved models, data, and evaluation.\n\nBuild geometric vision systems for calibration, localization, pose estimation, and coordinate transformations.\n\nTrain and debug PyTorch models using synthetic and real-world data.\n\nOptimize low-latency inference and deploy systems on NVIDIA Jetson with TensorRT.\n\nDeploy to factory floors and develop reusable perception infrastructure from real-world experience.\n\nWhat We're Looking For\nAt least 3 years of experience in computer vision, robotics perception, or applied machine learning, including deploying perception systems beyond notebooks or lab environments.\n\nStrong Python, PyTorch, and OpenCV skills, with experience building detection, classification, or tracking models.\n\nExperience shipping real-time perception systems that work reliably in challenging physical environments.\n\nBackground in geometric vision, such as calibration, localization, pose estimation, or coordinate transformations.\n\nExperience deploying to edge devices or optimizing production inference for low latency.\n\nComfort working directly in field settings and using real-world failures to improve models and data.\n\nExperience with synthetic data and Sim2Real, SLAM or VIO, depth estimation, 3D reconstruction, CUDA or TensorRT, ROS2, robot manipulation, or robot learning is beneficial.\n\nCompensation & Benefits\nBase salary is $120,000 to $200,000 annually. 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