STEM OPT Computer Vision Engineer Jobs
Computer Vision Engineer roles fall squarely within STEM OPT eligibility, giving you up to 24 additional months of work authorization beyond your initial OPT period. Your employer must be enrolled in E-Verify, and your degree in computer science, electrical engineering, or a related STEM field must align with the SOC code for the role.
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Southfield, MI, US, 48033
Lear For You
We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you.
A path to a better career. A better future.
Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we’re named one of the World’s Most Admired Companies.
They’re the secret to our success—empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.
Are you ready for a better career? A better future?
Job Description
The Computer Vision & AI Integration Engineer is responsible for identifying, evaluating, and deploying advanced vision, sensing, and AI-enabled solutions across Lear's E-Systems manufacturing operations. This role focuses on improving quality, productivity, traceability, and operator effectiveness through technologies such as machine vision, intelligent inspection, edge AI, industrial sensors, robotics, and automated decision support systems. Working within the Digital and Automation organization, the engineer partners with manufacturing engineering, plant operations, and external technology providers to develop proof-of-concepts, validate business value, and scale successful solutions across Lear's global manufacturing network. Join a highly visible group shaping the future of manufacturing through computer vision, AI, and advanced automation, with regular engagement across engineering, operations, and executive leadership. Be part of a fast-growing innovation organization with the autonomy to identify opportunities, lead new technology deployments, and help define Lear's global advanced manufacturing strategy.
Responsibilities
- Identify high-value use cases for computer vision, intelligent inspection, AI-enabled automation, and advanced sensing technologies
- Define technical standards, best practices, and deployment documentation for vision and AI-enabled applications
- Collaborate with suppliers to implement vision systems for applications including defect detection, assembly verification, process monitoring, traceability, and quality control
- Evaluate and select cameras, lighting systems, sensors, AI platforms, robotics solutions, and system integration partners
- Lead proof-of-concept and pilot projects from requirements definition through technical validation and deployment
- Cooperate with automation, manufacturing engineering, IT, and digital teams to integrate solutions into existing equipment and production systems
- Support deployment and standardization of successful solutions across multiple manufacturing plants
- Troubleshoot and optimize system performance in production environments
- Monitor emerging technologies in computer vision, industrial AI, robotics, and smart manufacturing to identify new opportunities for operational improvement
- Up to 25% travel
Education Requirements
Bachelor's degree in Electrical Engineering, Mechatronics, Robotics, Computer Engineering, Industrial Engineering, Computer Science, or a related field
Experience Requirements
- 3+ years of experience in manufacturing automation, machine vision, robotics, industrial controls, or AI-enabled manufacturing solutions
- Experience evaluating and managing automation, vision, AI, robotics, or system integration vendors
- Strong understanding of manufacturing automation technologies, including PLCs, HMIs, industrial networks, and production equipment integration
- Demonstrated success leading technical pilots, prototypes, or implementation projects from concept through deployment
- Ability to solve complex manufacturing challenges through structured problem-solving and technology application
- Strong communication and collaboration skills across engineering, operations, IT, and external partners
Bonus If You Have:
- Hands-on experience with computer vision, deep learning, AI-based inspection, or edge computing applications
- Experience in wire harness manufacturing environments
- Familiarity with MES, SCADA, industrial data platforms, and manufacturing system integration
Certifications / Licenses
Equal Opportunity Employer
Lear Corporation is committed to fair, merit‑based employment practices and equal opportunity.
We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.
Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.
Location:
Southfield, MI, US, 48033
Lear For You
We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you.
A path to a better career. A better future.
Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we’re named one of the World’s Most Admired Companies.
They’re the secret to our success—empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.
Are you ready for a better career? A better future?
Job Description
The Computer Vision & AI Integration Engineer is responsible for identifying, evaluating, and deploying advanced vision, sensing, and AI-enabled solutions across Lear's E-Systems manufacturing operations. This role focuses on improving quality, productivity, traceability, and operator effectiveness through technologies such as machine vision, intelligent inspection, edge AI, industrial sensors, robotics, and automated decision support systems. Working within the Digital and Automation organization, the engineer partners with manufacturing engineering, plant operations, and external technology providers to develop proof-of-concepts, validate business value, and scale successful solutions across Lear's global manufacturing network. Join a highly visible group shaping the future of manufacturing through computer vision, AI, and advanced automation, with regular engagement across engineering, operations, and executive leadership. Be part of a fast-growing innovation organization with the autonomy to identify opportunities, lead new technology deployments, and help define Lear's global advanced manufacturing strategy.
Responsibilities
- Identify high-value use cases for computer vision, intelligent inspection, AI-enabled automation, and advanced sensing technologies
- Define technical standards, best practices, and deployment documentation for vision and AI-enabled applications
- Collaborate with suppliers to implement vision systems for applications including defect detection, assembly verification, process monitoring, traceability, and quality control
- Evaluate and select cameras, lighting systems, sensors, AI platforms, robotics solutions, and system integration partners
- Lead proof-of-concept and pilot projects from requirements definition through technical validation and deployment
- Cooperate with automation, manufacturing engineering, IT, and digital teams to integrate solutions into existing equipment and production systems
- Support deployment and standardization of successful solutions across multiple manufacturing plants
- Troubleshoot and optimize system performance in production environments
- Monitor emerging technologies in computer vision, industrial AI, robotics, and smart manufacturing to identify new opportunities for operational improvement
- Up to 25% travel
Education Requirements
Bachelor's degree in Electrical Engineering, Mechatronics, Robotics, Computer Engineering, Industrial Engineering, Computer Science, or a related field
Experience Requirements
- 3+ years of experience in manufacturing automation, machine vision, robotics, industrial controls, or AI-enabled manufacturing solutions
- Experience evaluating and managing automation, vision, AI, robotics, or system integration vendors
- Strong understanding of manufacturing automation technologies, including PLCs, HMIs, industrial networks, and production equipment integration
- Demonstrated success leading technical pilots, prototypes, or implementation projects from concept through deployment
- Ability to solve complex manufacturing challenges through structured problem-solving and technology application
- Strong communication and collaboration skills across engineering, operations, IT, and external partners
Bonus If You Have:
- Hands-on experience with computer vision, deep learning, AI-based inspection, or edge computing applications
- Experience in wire harness manufacturing environments
- Familiarity with MES, SCADA, industrial data platforms, and manufacturing system integration
Certifications / Licenses
Equal Opportunity Employer
Lear Corporation is committed to fair, merit‑based employment practices and equal opportunity.
We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.
Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.
See all 362+ STEM OPT Computer Vision Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Computer Vision Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Computer Vision Engineer
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code maps to a DHS-designated STEM field. Computer science (11.0701) and electrical engineering (14.0901) both qualify, but interdisciplinary degrees sometimes don't. Confirm with your DSO before you start applying.
Filter job postings by E-Verify status
Before submitting any application, confirm the employer is enrolled in E-Verify using the official E-Verify employer search. Employers not enrolled cannot legally onboard you on STEM OPT, regardless of how interested they are in hiring you.
Use O*NET to build your job description match
Computer Vision Engineer roles don't always carry a single SOC code. Pull the O*NET occupation profile for 15-1299 and related codes to identify the tasks and skills USCIS expects to see in your I-983 training plan before you negotiate your job description.
Negotiate your I-983 training plan at the offer stage
Don't wait until onboarding to draft your training plan. At the offer stage, ask hiring managers to confirm which computer vision projects and learning objectives will anchor your I-983. Vague plans get rejected by DSOs and delay your extension start date.
Find STEM OPT roles on Migrate Mate
Migrate Mate filters Computer Vision Engineer listings by E-Verify enrollment, so every employer you see is already cleared to hire STEM OPT students. Search by role, location, and STEM designation to skip the manual verification step entirely.
Account for the 60-day grace period in your timeline
If your initial OPT EAD expires before your STEM extension is approved, your 60-day grace period does not authorize work. Submit your STEM OPT extension application to your DSO at least 90 days before your current EAD end date to avoid a work gap.
Frequently Asked Questions
Does a Computer Vision Engineer role qualify for the STEM OPT extension?
Yes, if your employer assigns you to work that falls under a STEM-designated SOC code and your degree is in a DHS-approved STEM field. Computer Vision Engineer positions typically map to SOC 15-1299 or 15-1252. Your DSO confirms the degree-to-role alignment when approving your I-20 STEM OPT recommendation, so bring the job description to that meeting.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be enrolled in E-Verify before your STEM OPT start date. Enrollment after you've already started work doesn't satisfy the requirement. You can verify enrollment using the official E-Verify employer search tool. If your employer isn't listed, they need to enroll through E-Verify before you can legally begin working under the STEM extension.
What goes into the I-983 training plan for a Computer Vision Engineer?
Your I-983 must connect your computer vision work directly to your STEM degree. List specific learning goals tied to the job, such as deep learning model development, image segmentation pipelines, or sensor fusion algorithms. USCIS expects a plan showing how the role advances your STEM knowledge, not a generic job description. Your employer signs the form, and your DSO approves it before your extension starts.
Does cap-gap protection apply if I'm a Computer Vision Engineer on STEM OPT?
Yes. If your employer files an H-1B visa petition on your behalf during the cap-subject filing period and your STEM OPT EAD expires on September 30, cap-gap extends your work authorization automatically through October 1 if your petition is selected. Your employer must file before your EAD expires for cap-gap to apply. USCIS issues updated guidance on cap-gap each fiscal year.
How do I find Computer Vision Engineer employers who accept STEM OPT students?
Migrate Mate is built specifically for this search. Listings are filtered by E-Verify enrollment, so every Computer Vision Engineer role you see is already cleared for STEM OPT hiring. You can sort by location, company size, and role type without needing to manually verify each employer's E-Verify status before applying.