{"id":1323409,"url":"https://alion.io/job/cellink-technologies-vision-engineer","title":"Vision Engineer","company":{"id":3782430,"name":"CelLink Technologies","domain":"cellinktechnologies.com","url":"https://alion.io/company/cellinktechnologies","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Georgetown, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":77000,"max_usd":148000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1275},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C#","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"OpenCV","optional":true},{"name":"PyTorch","optional":true},{"name":"PyTorch C++","optional":true},{"name":"TensorFlow","optional":true},{"name":"TensorFlow C++","optional":true}],"status":"live","first_seen_at":"2026-09-16T16:35:41Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-27T00:10:36Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"The Vision Engineer is responsible for designing, developing, deploying, and sustaining advanced machine vision and automated inspection systems used in CelLink’s manufacturing processes. This position combines expertise in industrial machine vision, computer vision, artificial intelligence/machine learning, and software development to create scalable inspection and process-monitoring solutions that improve product quality, yield, equipment performance, and manufacturing efficiency.\nThe Vision Engineer develops both traditional rule-based and AI-enabled vision applications, including the software, algorithms, data pipelines, interfaces, and system integrations required to deploy these solutions in a high-volume manufacturing environment.\nEssential Duties & Responsibilities\nDesign, develop, deploy, and optimize machine vision and computer vision systems, including cameras, optics, lighting, image acquisition, calibration, image-processing algorithms, inspection logic, measurement, defect detection, classification, and automated pass/fail decisions. \nDevelop production software and applications supporting vision and inspection systems using languages and technologies such as Python, C#, C++, SQL, APIs, databases, and related development frameworks; maintain robust source control, testing, documentation, deployment, and software revision practices. \nDevelop and deploy AI/ML-based computer vision solutions for defect detection, anomaly detection, classification, measurement, and process monitoring, including data preparation, model training, validation, deployment, performance monitoring, and continuous improvement. \nIntegrate vision systems and software with manufacturing equipment and factory systems, including PLCs, motion systems, MES, databases, SPC, traceability systems, and other production data platforms to enable automated decisions, data collection, analytics, and closed-loop process improvement. \nOwn vision system performance throughout the equipment lifecycle, including requirements development, vendor technical reviews, FAT/SAT, commissioning, qualification, troubleshooting, root-cause analysis, false reject/false accept reduction, documentation, training, and sustained production support. \nMinimum Qualifications \nBS in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering, Mechatronics, Robotics, Optical Engineering, or a related technical field. \n3+ years of hands-on experience developing, integrating, or supporting industrial machine vision, automated optical inspection, computer vision, or image-processing systems in a manufacturing or automation environment. \nHands-on experience with industrial cameras, lenses, lighting, image acquisition, calibration, and image-processing techniques. \nProgramming experience using Python, C#, C++, or similar languages for machine vision, automation, or manufacturing applications. \nExperience troubleshooting automated equipment and integrating vision systems with industrial controls, PLCs, or production equipment. \nPreferred Qualifications \nExperience developing production software using Python, C#, C++, SQL, or similar technologies. \nExperience with software architecture, APIs, databases, source/version control, automated testing, and deployment practices. \nExperience with computer vision frameworks and libraries such as OpenCV, PyTorch, TensorFlow, or equivalent technologies. \nExperience developing, training, validating, and deploying AI/ML models for industrial computer vision applications. \nExperience with industrial vision platforms such as Cognex, Keyence, Basler, Teledyne, Omron, or similar systems. \nExperience integrating software and vision applications with PLCs, MES, databases, SPC, traceability, and manufacturing data systems. \nExperience developing software and vision solutions for high-volume automated manufacturing equipment. \nExperience with statistical methods including GR&R, measurement-system analysis, process capability, and validation of automated inspection systems. \nKnowledge, Skills & Abilities \nStrong knowledge of industrial machine vision principles, including cameras, sensors, lenses, field of view, depth of field, resolution, exposure, triggering, lighting, optics, and image quality. \nStrong knowledge of image-processing techniques including filtering, thresholding, edge detection, feature extraction, pattern matching, measurement, segmentation, and defect classification. \nKnowledge of AI/ML computer vision techniques, including model development, training, validation, deployment, and performance monitoring in a production environment. \nStrong programming and debugging skills with the ability to develop maintainable production-level vision applications and tools. \nAbility to translate product specifications and quality requirements into reliable automated inspection criteria. \nStrong troubleshooting and root-cause analysis skills across software, controls, optics, lighting, mechanical systems, and manufacturing processes. \nWorking knowledge of industrial automation, PLC communications, networking, databases, and manufacturing data systems. \nAbility to analyze inspection and production data to distinguish actual product/process variation from measurement-system variation and communicate technical information effectively across functions. \nWe believe diversity and inclusion among our teammates are essential to our success. We celebrate diversity and are committed to creating an inclusive environment for all employees while building teams that represent a variety of backgrounds, perspectives, and skills. We are an equal opportunity employer. All employment is decided based on qualifications, merit, and business needs. CelLink participates in the E-Verify program in specific locations as required by law.\nCelLink was founded in 2012 and entered volume production in 2018. CelLink provides electrical systems to the world's leading automotive OEMs & EV manufacturers, data center developers, and stationary power companies. The company has raised approximately $315M in funding through private investment and multiple grants from the US Department of Energy. CelLink’s investors include 3M, Atreides, BMW, BorgWarner, Bosch, D1 Capital, Fidelity, Fontinalis Partners, Ford, Franklin Templeton, Lear, Park West, SK Telecom, Standard Investments, T. Rowe Price, Tinicum, and Whale Rock.","description_format":"text","description_chars":6394,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Electrical & Electronic Engineering","Design & Prototyping Tools"],"lifecycle":[{"event":"open","at":"2026-09-27T00:10:36Z"}],"liveness":{"score":46,"band":"ok","label":"Likely open","p_open":1,"p_active":0.511,"p_room":0.9,"age_days":10,"expected_fill_days":21,"reasons":["conf:4","win:mid"],"computed_at":"2026-09-27T05:09:23Z"},"pay":null,"html_url":"https://alion.io/job/cellink-technologies-vision-engineer","json_url":"https://alion.io/job/cellink-technologies-vision-engineer.json","meta":{"generated_at":"2026-09-27T05:09:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4511,"day_limit":5000,"remaining_today":489,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}