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Senior Vision Engineer
Lear Corporation. Evaluate application requirements and select vision technologies, cameras, lighting, optics, and software platforms .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying machine vision solutions, with strong programming skills in Python and experience in integrating vision systems with industrial automation equipment. Capable of managing projects, mentoring teams, and ensuring compliance with safety and engineering standards.
Highest-signal resume keywords
Machine Vision Solutions DevelopmentPython ProgrammingVision Pro Deep Learning (VPDL)Industrial Automation IntegrationProject Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Machine Vision TechnologiesC/C++ ProgrammingData Set Creation and MaintenanceElectrical Schematics ReadingAI and Deep Learning DeploymentPerformance Monitoring Tools DevelopmentVision System TroubleshootingCamera ConfigurationIndustrial Networking TechnologiesOptics and Lighting Systems Configuration
Soft Skills
Analytical Problem-SolvingExcellent CommunicationStakeholder ManagementOrganizational SkillsTeam Collaboration
Tools & Technologies
Vision ProCognex VisionProAutoCADFanuc ProgrammingUniversal Robots (UR) Programming
Industry Keywords
Manufacturing EngineeringIndustrial AutomationQuality Inspection ProcessesMachine Vision DatasetsSafety and Engineering Standards
Tech Stack
Tools & technologiesPythonC++
About the role
Key responsibilities & impact- Evaluate application requirements and select vision technologies, cameras, lighting, optics, and software platforms
- Design, develop, and deploy machine vision solutions for manufacturing and quality inspection processes
- Develop and maintain applications using Vision Pro, VPDL, and deep-learning-based vision platforms
- Build, label, validate, and maintain image datasets for AI and machine learning models
- Optimize vision system performance, accuracy, reliability, and uptime
- Develop PC-based applications primarily using Python and support C/C++ integrations
- Configure and integrate vision software with manufacturing equipment and plant networks
- Develop performance monitoring tools and KPIs to improve reliability and reduce downtime
- Integrate vision systems with PLCs, robots, PCs, HMIs, and manufacturing equipment
- Configure cameras, frame grabbers, communications cards, industrial networks, and related hardware
- Develop, test, troubleshoot, and validate PLC–Vision System–PC architectures
- Lead commissioning, startup activities, and customer acceptance testing
- Develop contingency and disaster recovery plans for mission-critical applications
- Perform hands-on installation, camera mounting, focusing, mechanical adjustments, and system setup
- Coordinate with plant personnel, project teams, maintenance groups, and quality organizations
- Train plant personnel on operation, troubleshooting, and maintenance
- Provide advanced technical support after project handoff
- Manage projects from concept through final handoff, including schedules, budgets, and deliverables
- Establish project timelines, communicate risks or delays, gather requirements, and resolve missing information
- Communicate with plant quality managers, engineering teams, project managers, and leadership
- Mentor and train junior engineers and technicians
- Complete risk assessments and ensure compliance with safety and engineering standards
Requirements
What you’ll need- Bachelor’s Degree in Engineering, Computer Science, Automation, Robotics, Controls Engineering, or equivalent experience
- Minimum of 5 years of experience in machine vision, industrial automation, manufacturing engineering, or a related field
- Strong programming experience in Python
- Experience with Vision Pro Deep Learning (VPDL) and/or Cognex VisionPro applications
- Experience configuring and programming industrial cameras, optics, lighting systems, and vision hardware
- Experience creating, labeling, validating, and maintaining machine vision datasets
- Experience integrating vision systems with PLCs, industrial PCs, robots, and manufacturing equipment
- Ability to troubleshoot complete machine vision solutions from hardware through software
- Willingness and ability to perform hands-on installation and commissioning work in manufacturing facilities
- Ability to travel globally up to 50%
- Experience with C/C++ programming
- Experience with Fanuc and/or Universal Robots (UR) programming and integration
- Ability to read and create electrical schematics using AutoCAD
- Experience with frame grabbers, communication cards, and industrial networking technologies
- Experience deploying AI and deep learning models within manufacturing environments
- Previous leadership, mentoring, or technical team development experience
- Recognized expertise in machine vision technologies and available industry solutions
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management skills
- Strong organizational skills with the ability to prioritize multiple projects and meet deadlines
- Ability to build collaborative relationships with customers, suppliers, and internal teams
- Comfortable working independently in plant environments