{"id":1826968,"url":"https://alion.io/job/lear-senior-vision-engineer","title":"Senior Vision Engineer","company":{"id":1797416,"name":"Lear","domain":"lear.com","url":"https://alion.io/company/lear-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Comstock, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":94000,"max_usd":178000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":4906},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"AutoCAD","optional":true}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-10-11T16:28:57Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Senior Vision Engineer\n\nDuncan, SC\nDetroit, MI\nHammond, IN\nMcCalla, AL\nGrand Prairie, TX\nPosition Summary\nThe Vision Engineer serves as Lear’s subject matter expert for machine vision, deep learning vision applications, and system integration. This role is responsible for the complete lifecycle of vision projects, including concept development, system design, programming, installation, commissioning, plant training, and post-launch support. The ideal candidate combines strong software development expertise with hands-on installation experience and is capable of leading complex vision system deployments in manufacturing environments worldwide.\nIdeal Candidate Profile\nThe ideal candidate is a rare combination of software engineer, vision specialist, and hands-on industrial integrator. They possess strong Python and VPDL expertise, are comfortable installing and commissioning equipment on plant floors, can manage projects from concept through launch, and have the leadership capability to mentor less-experienced team members while delivering complex vision solutions globally.\nKey Responsibilities:\nVision System Design & Development\nEvaluate application requirements and select the most appropriate vision technologies, cameras, lighting, optics, and software platforms.\nDesign, develop, and deploy machine vision solutions for manufacturing and quality inspection processes.\nDevelop and maintain vision applications using Vision Pro, Vision Pro Deep Learning (VPDL), and other deep-learning-based vision platforms.\nBuild, label, validate, and maintain image datasets ranging from hundreds to tens of thousands of images to support AI and machine learning models.\nOptimize vision system performance, accuracy, reliability, and uptime.\nSoftware Engineering & Programming\nDevelop PC-based applications primarily using Python.\nSupport lower-level integrations and system enhancements using C/C++ as required.\nConfigure and integrate vision software with manufacturing equipment and plant networks.\nDevelop performance monitoring tools and key performance indicators to improve system reliability and reduce downtime.\nSystem Integration & Commissioning\nIntegrate vision systems with PLCs, robots, PCs, HMIs, and manufacturing equipment.\nConfigure cameras, frame grabbers, communications cards, industrial networks, and related hardware.\nDevelop, test, troubleshoot, and validate complete PLC ↔ Vision System ↔ PC architectures.\nLead system commissioning, startup activities, and customer acceptance testing.\nDevelop contingency and disaster recovery plans for mission-critical vision applications.\nInstallation & Field Support\nPerform hands-on installation activities including camera mounting, focusing, mechanical adjustments, and system setup.\nUse hand tools and basic mechanical equipment as needed during installations.\nCoordinate activities with plant personnel, project teams, maintenance groups, and quality organizations.\nTrain receiving plant personnel on operation, troubleshooting, and maintenance of deployed systems.\nProvide advanced technical support following project handoff.\nProject Management & Leadership\nManage projects from concept through final handoff while maintaining schedules, budgets, and deliverables.\nEstablish and track project timelines and proactively communicate risks or delays.\nGather technical requirements and resolve missing information with stakeholders.\nCommunicate effectively with plant quality managers, engineering teams, project managers, and leadership.\nMentor and train junior engineers and technicians to strengthen organizational capability and reduce dependency on key personnel.\nComplete risk assessments and ensure compliance with company safety and engineering standards.\nRequired Qualifications\nBachelor’s Degree in Engineering, Computer Science, Automation, Robotics, Controls Engineering, or equivalent experience.\nMinimum of 5 years of experience in machine vision, industrial automation, manufacturing engineering, or a related field.\nStrong programming experience in Python.\nExperience with Vision Pro Deep Learning (VPDL) and/or Cognex VisionPro applications.\nExperience configuring and programming industrial cameras, optics, lighting systems, and vision hardware.\nExperience creating, labeling, validating, and maintaining machine vision datasets.\nExperience integrating vision systems with PLCs, industrial PCs, robots, and manufacturing equipment.\nAbility to troubleshoot complete machine vision solutions from hardware through software.\nWillingness and ability to perform hands-on installation and commissioning work in manufacturing facilities.\nAbility to travel globally up to 50%.\nPreferred Qualifications\nExperience with C/C++ programming.\nExperience with Fanuc and/or Universal Robots (UR) programming and integration.\nAbility to read and create electrical schematics using AutoCAD.\nExperience with frame grabbers, communication cards, and industrial networking technologies.\nExperience deploying AI and deep learning models within manufacturing environments.\nPrevious leadership, mentoring, or technical team development experience.\nKnowledge, Skills & Abilities\nRecognized expertise in machine vision technologies and available industry solutions.\nStrong analytical and problem-solving skills with the ability to evaluate alternatives and select optimal technical solutions.\nExcellent communication and stakeholder management skills.\nSelf-starter with a high level of initiative and accountability.\nStrong organizational skills with the ability to prioritize multiple projects and meet deadlines.\nDetail-oriented, results-driven, and focused on continuous improvement.\nAbility to build collaborative relationships with customers, suppliers, and internal teams.\nComfortable working independently in plant environments while driving projects to successful 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