{"id":719216,"url":"https://alion.io/job/bright-machines-senior-robot-perception-engineer-visual-inspectionmlops","title":"Senior Robot Perception Engineer - Visual Inspection/MLOps","company":{"id":47998,"name":"Bright Machines","domain":"brightmachines.com","url":"https://alion.io/company/bright-machines","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":95,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":103,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Robotics","role_family":"Robotics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Burlingame, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":190000,"max":235000,"currency":"USD","period":"year","gross":null,"usd_annual":235000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"Kubeflow","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Perception","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"ROS2","optional":false},{"name":"TensorRT","optional":false},{"name":"Weights & Biases","optional":false}],"status":"live","first_seen_at":"2026-03-23T17:32:08Z","employer_posted_date":"2026-03-23","last_verified_at":"2026-11-02T07:19:59Z","board_verified":true,"closed_at":null,"days_open":223,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":223},"description":"ABOUT THE ROLE\nAs a senior Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on senior contributor responsible for productizing visual inspection solutions for our automation platform. You will own the full pipeline-from algorithm development to production deployment-turning prototype inspection capabilities into reliable, high-throughput features that operate at scale across our automation lines. In this role, you will develop and optimize computer vision and deep learning models for defect detection, classification, and visual validation. You will collaborate closely with cross-functional teams, including Mechanical Engineering and Manufacturing Operations, to design end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions. Additionally, you will have the opportunity to shape the inspection product roadmap and drive the adoption of cutting-edge machine learning techniques in an industrial setting.\nWHAT YOU WILL BE DOING\nDevelop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning\nOptimize model inference for GPU deployment, leveraging CUDA, TensorRT, and related acceleration frameworks\nCollaborate with Mechanical engineers to design illumination setups that maximize inspection accuracy and robustness\nBuild and maintain data pipelines for model training, evaluation, and continuous improvement\nPartner with platform team to establish MLOps practices for model versioning, experiment tracking, automated retraining, and production model monitoring\nHarden inspection solutions for production reliability, including monitoring, alerting, and graceful degradation\nWork with service engineering and field teams to deploy inspection solutions and support customer rollouts\nDefine metrics and benchmarks to measure inspection accuracy, throughput, and reliability\nWHAT YOU WILL BRING\nMS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability.\n5+ years of relevant experience in computer vision and/or machine learning\nStrong programming skills in Python\nDeep experience with PyTorch for model development and training\nExperience optimizing ML models for GPU inference in production environments\nTrack record of shipping ML/CV models from prototype to production\nExperience with image acquisition, camera systems, and sensor integration\nIT WOULD BE GREAT IF YOU HAD\nKnowledge of lighting and optics for machine vision (diffuse/directional illumination, lens and filters)\nExperience with industrial camera systems and standards (GigE Vision, GenICam, CoaXPress)C/C++ experience for performance-critical components\n\nExperience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar)\nExperience with data annotation, labeling workflows, and active learning strategies\nExperience with ROS2\nUnderstanding of manufacturing processes and quality control methodologies\nPublications or patents in computer vision, deep learning, or related fields","description_format":"text","description_chars":3133,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Automation","Computer Vision","Industrial Robotics"],"lifecycle":[{"event":"open","at":"2026-09-11T06:51:32Z"}],"visa":[],"liveness":{"score":19,"band":"cold","label":"Long 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