Vision Engineer Jobs
Vision Engineer jobs are open across autonomous vehicles, medical imaging, robotics, and industrial manufacturing, covering specializations in machine learning, optical systems, and 3D perception, from entry-level to principal and staff roles. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 195+ Vision Engineer jobs
Location: Holland, MI
Benefits: LG Energy Solution offers a competitive total rewards package, including 100% employer-paid medical, dental, and vision coverage for eligible employees, paid time off, a 401(k) with company match, and additional voluntary benefits. Benefit eligibility and plan details are subject to the applicable benefit plans.
LG Energy Solution Michigan, Inc. is a global leader in advanced lithium-ion battery technology, delivering innovative battery solutions for electric vehicles (EVs) and Energy Storage Systems (ESS). With expanding operations across the United States, we are committed to innovation, quality, safety, and sustainability while powering the future of clean energy. Join our team and help shape the next generation of advanced battery technology.www.lgenergymi.com
Position Summary:
The Engineer I, Vision Systems supports machine vision and automated inspection systems in battery cell manufacturing. This position assists with inspection programming, equipment setup, testing, and troubleshooting to help detect defects and improve yield and Overall Equipment Effectiveness (OEE). The Engineer I works with experienced engineers, technicians, Production, and Quality to support daily operations and new equipment start-up.
Essential Responsibilities:
- Operate Omron, Keyence, or comparable vision controllers and support PC-based inspection programs.
- Assist with updates to inspection logic and verify performance using approved test samples.
- Assist with camera alignment, focus, lighting adjustments, and sensor checks for 2D and 3D inspection systems.
- Run established verification tests, record results, and report missed defects or false rejects.
- Support equipment installation, commissioning, validation, and production start-up by completing assigned checks and documenting open issues.
- Troubleshoot routine camera, lighting, sensor, and I/O faults using established procedures. Collect fault data and escalate recurring or complex issues.
- Collect inspection, yield, and downtime data to support equipment and quality improvements.
- Maintain configuration records and update work instructions and maintenance documentation under engineering guidance.
- Work with technicians, operators, engineers, and vendors to resolve assigned issues and share equipment updates.
- Ensure compliance with applicable safety programs, policies, procedures, and PPE/clean-room requirements.
- Participate in required training and maintain regular and reliable on-site attendance.
-
Maintain cleanliness at work-site in accordance with 5S3R Standards:
- Sort, Set in order, Shine, Standardize, Sustain
- Right Location, Right Quantity, Right Container
- Perform other duties as assigned
Required Qualifications:
- Bachelor's degree in Engineering, Automation, Mechatronics, Electrical Engineering, Computer Science, Engineering Technology, or a related technical field, or equivalent relevant experience.
- Foundational knowledge of machine vision, automated inspection, or industrial automation.
- Experience performing root-cause analysis, technical problem-solving, and equipment or process improvement.
- Ability to support troubleshooting in a manufacturing environment and interpret technical information.
- Knowledge of lithium-ion battery manufacturing processes.
Preferred Qualifications:
- 0-3 years of experience in continuous improvement, machine vision, automation, controls, equipment, or manufacturing within a highly automated and/or automotive engineering environment.
- Experience in troubleshooting machine vision, automated inspection, controls, or related manufacturing systems.
- Familiarity with Omron, Keyence, or comparable vision platforms.
- Familiarity with cameras, lenses, lighting, sensors, and industrial I/O.
- Exposure to 2D or 3D inspection, robotics, or automated manufacturing equipment.
- Experience in battery, automotive, or highly automated manufacturing.
Skills & Competencies:
- Apply basic knowledge of machine vision, inspection logic, cameras, lenses, lighting, and sensors.
- Assist with vision program updates and verify results using approved test samples.
- Troubleshoot routine inspection issues and escalate recurring or complex problems.
- Support equipment commissioning, validation, start-up, and daily production.
- Follow change-control procedures and accurately document equipment settings and test results.
- Use Microsoft Office to track inspection data, false rejects, and downtime to support improvements.
- Prioritize assigned tasks and communicate findings clearly in writing and in person.
Work Environment & Physical Requirements:
- Work is primarily performed on-site in an industrial battery manufacturing environment, including production and equipment areas.
- May require standing, walking, bending, reaching, and accessing manufacturing equipment as necessary for troubleshooting and support.
- Follow site safety procedures and properly wear required personal protective equipment (PPE) in designated areas, including safety glasses and steel-toed shoes.
- Must be able to lift, push, or pull up to 50 pounds.
- May work around manufacturing equipment, moving machinery, elevated noise levels, and other conditions typical of an industrial manufacturing environment.
- On-call availability and occasional support outside normal business hours are required.
Equal Opportunity Employer
LG Energy Solution is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other status protected by applicable federal, state, or local law.
LG Energy Solution provides reasonable accommodations to qualified applicants and employees with disabilities as required by applicable law.
Job Description Disclaimer
This job description is intended to describe the general nature and level of work performed by employees in this position. It is not intended to be a comprehensive list of all responsibilities, duties, or qualifications. Responsibilities may change based on business needs.
Location: Holland, MI
Benefits: LG Energy Solution offers a competitive total rewards package, including 100% employer-paid medical, dental, and vision coverage for eligible employees, paid time off, a 401(k) with company match, and additional voluntary benefits. Benefit eligibility and plan details are subject to the applicable benefit plans.
LG Energy Solution Michigan, Inc. is a global leader in advanced lithium-ion battery technology, delivering innovative battery solutions for electric vehicles (EVs) and Energy Storage Systems (ESS). With expanding operations across the United States, we are committed to innovation, quality, safety, and sustainability while powering the future of clean energy. Join our team and help shape the next generation of advanced battery technology.www.lgenergymi.com
Position Summary:
The Engineer I, Vision Systems supports machine vision and automated inspection systems in battery cell manufacturing. This position assists with inspection programming, equipment setup, testing, and troubleshooting to help detect defects and improve yield and Overall Equipment Effectiveness (OEE). The Engineer I works with experienced engineers, technicians, Production, and Quality to support daily operations and new equipment start-up.
Essential Responsibilities:
- Operate Omron, Keyence, or comparable vision controllers and support PC-based inspection programs.
- Assist with updates to inspection logic and verify performance using approved test samples.
- Assist with camera alignment, focus, lighting adjustments, and sensor checks for 2D and 3D inspection systems.
- Run established verification tests, record results, and report missed defects or false rejects.
- Support equipment installation, commissioning, validation, and production start-up by completing assigned checks and documenting open issues.
- Troubleshoot routine camera, lighting, sensor, and I/O faults using established procedures. Collect fault data and escalate recurring or complex issues.
- Collect inspection, yield, and downtime data to support equipment and quality improvements.
- Maintain configuration records and update work instructions and maintenance documentation under engineering guidance.
- Work with technicians, operators, engineers, and vendors to resolve assigned issues and share equipment updates.
- Ensure compliance with applicable safety programs, policies, procedures, and PPE/clean-room requirements.
- Participate in required training and maintain regular and reliable on-site attendance.
-
Maintain cleanliness at work-site in accordance with 5S3R Standards:
- Sort, Set in order, Shine, Standardize, Sustain
- Right Location, Right Quantity, Right Container
- Perform other duties as assigned
Required Qualifications:
- Bachelor's degree in Engineering, Automation, Mechatronics, Electrical Engineering, Computer Science, Engineering Technology, or a related technical field, or equivalent relevant experience.
- Foundational knowledge of machine vision, automated inspection, or industrial automation.
- Experience performing root-cause analysis, technical problem-solving, and equipment or process improvement.
- Ability to support troubleshooting in a manufacturing environment and interpret technical information.
- Knowledge of lithium-ion battery manufacturing processes.
Preferred Qualifications:
- 0-3 years of experience in continuous improvement, machine vision, automation, controls, equipment, or manufacturing within a highly automated and/or automotive engineering environment.
- Experience in troubleshooting machine vision, automated inspection, controls, or related manufacturing systems.
- Familiarity with Omron, Keyence, or comparable vision platforms.
- Familiarity with cameras, lenses, lighting, sensors, and industrial I/O.
- Exposure to 2D or 3D inspection, robotics, or automated manufacturing equipment.
- Experience in battery, automotive, or highly automated manufacturing.
Skills & Competencies:
- Apply basic knowledge of machine vision, inspection logic, cameras, lenses, lighting, and sensors.
- Assist with vision program updates and verify results using approved test samples.
- Troubleshoot routine inspection issues and escalate recurring or complex problems.
- Support equipment commissioning, validation, start-up, and daily production.
- Follow change-control procedures and accurately document equipment settings and test results.
- Use Microsoft Office to track inspection data, false rejects, and downtime to support improvements.
- Prioritize assigned tasks and communicate findings clearly in writing and in person.
Work Environment & Physical Requirements:
- Work is primarily performed on-site in an industrial battery manufacturing environment, including production and equipment areas.
- May require standing, walking, bending, reaching, and accessing manufacturing equipment as necessary for troubleshooting and support.
- Follow site safety procedures and properly wear required personal protective equipment (PPE) in designated areas, including safety glasses and steel-toed shoes.
- Must be able to lift, push, or pull up to 50 pounds.
- May work around manufacturing equipment, moving machinery, elevated noise levels, and other conditions typical of an industrial manufacturing environment.
- On-call availability and occasional support outside normal business hours are required.
Equal Opportunity Employer
LG Energy Solution is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other status protected by applicable federal, state, or local law.
LG Energy Solution provides reasonable accommodations to qualified applicants and employees with disabilities as required by applicable law.
Job Description Disclaimer
This job description is intended to describe the general nature and level of work performed by employees in this position. It is not intended to be a comprehensive list of all responsibilities, duties, or qualifications. Responsibilities may change based on business needs.
Vision Engineer Jobs by Experience Level
See All 195+ Vision Engineer Jobs
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Find Vision Engineer JobsVision Engineer Job Market
Who's Hiring
- Apple26
- Tesla12
- Booz Allen Hamilton6
- Meta4
- Anduril4
Top Industries Hiring
- Technology & Software
- Electronics & Hardware
- Agriculture & Farming
- Consulting & Professional Services
- Retail
What Employers Look For
The qualifications that appear most often in vision engineer jobs.
- Bachelor's or master's degree in computer science, electrical engineering, or a related field
- Proficiency in Python and C++ for real-time computer vision applications
- Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow
- Familiarity with OpenCV and standard image processing algorithms
- Experience deploying vision models on edge hardware or embedded systems
- Knowledge of camera calibration, stereo vision, or sensor fusion techniques
Tips for Your Vision Engineer Job Search
Tailor your resume for perception pipelines
Hiring managers for vision engineer roles scan for specific pipeline components: detection, segmentation, tracking, calibration. List each stage you've owned, the dataset scale you worked with, and the inference latency or accuracy metrics you hit in production.
Show your code, not just your credentials
A public repository with a working computer vision project carries more weight than a degree line alone. Annotate your README with the problem statement, your architecture choices, and the tradeoffs you made so reviewers understand your reasoning, not just your output.
Apply early to roles that fit
Migrate Mate lists vision engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter openings by sensor modality
Job listings often specify RGB cameras, LiDAR, depth sensors, or hyperspectral imaging. Match your applications to the sensor stack you know best first, then branch out to adjacent modalities where your algorithmic skills transfer directly.
Prep for whiteboard coding on image algorithms
Expect live coding questions on convolution, non-maximum suppression, homography, or stereo disparity estimation. Practice writing these from scratch without library shortcuts, because interviewers want to see that you understand what the library is doing under the hood.
Negotiate around compute access, not just salary
GPU allocation, cloud credits, and access to labeled datasets directly affect what you can build and how fast you can iterate. During offer discussions, ask specifically about compute resources and internal data infrastructure before accepting any role.
Vision Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most vision engineers?
The most active employers for vision engineers right now are Apple, Tesla, and Booz Allen Hamilton, and the most openings are in California, Michigan, and Ohio, based on current listings on Migrate Mate as of November 2026. Autonomous vehicle programs and medical device manufacturers consistently post the highest volumes of open roles.
How many vision engineer jobs are remote?
About 42% of vision engineer openings are fully remote or hybrid as of November 2026, though the share varies significantly by specialization. Algorithm research and software-side model development roles tend to allow remote work more often than hardware-integrated or lab-based positions that require physical access to cameras, sensors, or robotic systems.
How do you become a vision engineer?
Start by building a foundation in linear algebra, probability, and programming, then work through core computer vision concepts including image formation, feature extraction, and object detection. Implement projects using real datasets to build a portfolio. Pursue a degree or coursework in computer science, electrical engineering, or machine learning, and contribute to open-source vision projects to demonstrate practical ability to employers.
How do you get hired as a vision engineer with little experience?
Focus on building a narrow but deep portfolio: pick one domain such as object detection or optical flow, build a project end-to-end, and document your design decisions clearly. Apply to companies with structured new-grad programs in robotics or autonomous systems, where teams expect to train junior engineers on proprietary pipelines rather than requiring years of production experience upfront.
What does the vision engineer interview process look like?
Most vision engineer interviews include a recruiter screen, a technical phone round covering algorithm fundamentals and coding, and an onsite or virtual loop with separate rounds for system design, live coding on image processing problems, and a research or project presentation. Some teams also include a take-home assignment where you implement or debug a specific vision pipeline component before the final round.
Where can I find and apply to vision engineer jobs?
You can find and apply to vision engineer jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings to find roles that match your specialization and experience level, then apply directly to each one that fits.
See All 195+ Vision Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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