H-1B Visa Computer Vision Engineer Jobs
Computer Vision Engineer roles qualify as H-1B visa specialty occupations under the computer science and engineering SOC codes, making them strong candidates for employer sponsorship. Tech, autonomous vehicles, robotics, and medical imaging companies file LCAs regularly for this title. No lottery anxiety: your skills put you in high demand.
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Get Access To All JobsLocation:
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 1,001+ H-1B Visa Computer Vision Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Computer Vision Engineer Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Computer Vision Engineer
Verify your role meets specialty occupation
Computer Vision Engineer must require a bachelor's degree or higher in computer science, electrical engineering, or a directly related field. If your job description says 'preferred' instead of 'required,' the H-1B petition is vulnerable to an RFE. Push your employer to tighten the language before filing.
Check prevailing wage before accepting offers
Use the OFLC Wage Search to look up the DOL prevailing wage for your SOC code and work location before you negotiate. Your offer must meet or exceed that figure for the LCA to be certified, so knowing the floor protects you from underpaid petitions.
Target employers with active LCA filing history
Search Migrate Mate to filter Computer Vision Engineer roles by employers who have filed H-1B LCAs for this specific occupation. Employers with consistent filing history have an established process and are less likely to stall or withdraw after the lottery.
Document your degree field equivalency early
If your degree is in physics, mathematics, or a non-CS discipline, get a credential evaluation from a NACES-approved organization before your employer files. USCIS scrutinizes degree-to-role fit closely for engineering petitions, and a missing equivalency letter is a common RFE trigger.
Ask about premium processing before the lottery
Employers can upgrade an approved H-1B petition to premium processing through USCIS, which guarantees a 15-business-day adjudication. For Computer Vision roles with project start dates tied to product cycles, confirm whether your employer will elect premium so delays don't push your start date past October 1.
Reference O*NET to strengthen specialty occupation evidence
The O*NET occupation profile for Computer Vision and related engineering roles lists the education and knowledge requirements USCIS uses to evaluate specialty occupation claims. Share the relevant O*NET data with your employer's immigration counsel to support the petition's occupational evidence section.
H-1B Visa Computer Vision Engineer: Frequently Asked Questions
Does a Computer Vision Engineer role qualify as an H-1B specialty occupation?
Yes. Computer Vision Engineer falls under SOC codes tied to software developers and electrical and electronics engineers, both of which USCIS consistently recognizes as specialty occupations requiring at least a bachelor's degree in a directly related field. The key is that your job description must specify the degree as a requirement, not a preference. Roles at the intersection of machine learning and imaging are well-established in USCIS adjudication history.
Which industries sponsor H-1B visas most often for Computer Vision Engineers?
Autonomous vehicle companies, robotics manufacturers, medical imaging firms, defense contractors, and large technology companies are the most consistent H-1B sponsors for Computer Vision Engineers. Startups in AR and VR also file regularly. You can browse verified LCA filing history for this role by employer on Migrate Mate to see which companies have active sponsorship patterns before you apply.
What happens to my H-1B status if my Computer Vision project is canceled mid-petition?
If your employer withdraws the H-1B petition after USCIS approval but before your start date, you retain a 60-day grace period to find a new sponsor and file an H-1B transfer. If the petition is withdrawn while you're already working in H-1B status, the same 60-day rule applies. Document your last day of employment and act quickly, because the grace period doesn't pause.
Can I transfer my H-1B to a new employer if my Computer Vision role changes significantly?
Yes, but the new employer must file an H-1B transfer petition before your current status expires, and the new role must still qualify as a specialty occupation. If the job duties shift substantially, for example from pure research to a product management hybrid, USCIS may scrutinize whether the degree requirement still holds. A transfer is typically straightforward when the new role maps cleanly to the same SOC code.
Does a master's degree in computer science improve my H-1B approval odds for this role?
A master's degree strengthens your petition in two ways. It eliminates the degree-to-role fit scrutiny that bachelor's-level applicants sometimes face, and it makes you eligible for the master's cap, which historically has higher selection rates than the regular cap. For competitive Computer Vision specializations like 3D reconstruction or deep learning, a graduate degree also supports higher prevailing wage levels in the DOL's four-tier structure.