Computer Vision Engineer Jobs in USA with Visa Sponsorship
Computer Vision Engineers are among the most consistently sponsored roles in U.S. tech. Employers regularly file H-1B visa and O-1 visa petitions for this specialty, and the role qualifies as a specialty occupation given its requirement for a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. For detailed occupation requirements, see the O*NET profile.
Find Computer Vision Engineer JobsOverview
Showing 5 of 20,031+ Computer Vision Engineer jobs
See all 20,031+ Computer Vision Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Computer Vision Engineer roles.
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 20,031+ Computer Vision Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Computer Vision Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Computer Vision Engineer
Target companies with active H-1B filing histories
Companies that have sponsored Computer Vision Engineers before are far more likely to do it again. Look for employers with established immigration infrastructure, large tech firms, autonomous vehicle companies, and defense contractors file consistently for this role.
Frame your degree field precisely on applications
USCIS approves H-1B petitions for Computer Vision Engineers most reliably when the degree is in computer science, electrical engineering, or robotics. Highlight the specific coursework and research that ties your academic background directly to the role.
Build a portfolio that demonstrates specialty-level work
Sponsorship decisions often come down to distinguishing a specialist from a generalist. Published research, open-source contributions, or deployed production systems in object detection, image segmentation, or 3D reconstruction make your sponsorship case substantially stronger.
Understand the H-1B cap timeline before you apply
Registration opens in March for an October 1 start date. If you miss the lottery, cap-exempt employers like universities and nonprofits can file year-round. Plan your job search around this window, especially if your OPT or status expires mid-year.
Consider employers in autonomous vehicles, robotics, and defense
These industries have the highest concentration of Computer Vision sponsorships outside of pure software companies. Companies building autonomous systems, surgical robots, or surveillance platforms file regularly and often have dedicated immigration teams ready to process petitions quickly.
Use Migrate Mate to find roles that explicitly offer sponsorship
Most job postings don't advertise sponsorship clearly, which wastes time. Migrate Mate filters specifically for employers willing to sponsor, so you're only seeing Computer Vision roles where visa support is already confirmed rather than something you have to negotiate.
Frequently Asked Questions
Does Computer Vision Engineer qualify as a specialty occupation for H-1B?
Yes. Computer Vision Engineering consistently meets USCIS's specialty occupation standard because the role requires at minimum a bachelor's degree in a specific technical field, typically computer science, electrical engineering, or applied mathematics. USCIS has approved H-1B visa petitions for this job title at high rates, particularly when the petition documents how the degree field directly applies to the specific computer vision work being performed.
Can I get sponsored as a Computer Vision Engineer without a computer science degree?
Potentially, but it requires a stronger petition. USCIS accepts degrees in electrical engineering, applied mathematics, or physics if your coursework covered relevant areas like signal processing, linear algebra, or machine learning. A degree in an unrelated field is difficult to defend. The stronger your academic alignment to the role, the lower your risk of an RFE. An immigration attorney can assess your specific combination of education and experience.
Which types of employers sponsor Computer Vision Engineers most often?
The highest-volume sponsors are large tech companies building autonomous systems, robotics firms, automotive manufacturers with self-driving programs, medical imaging companies, and defense contractors. Startups do sponsor but less predictably, they may lack dedicated immigration support and face higher petition scrutiny without an established filing history. Browse Migrate Mate to find Computer Vision roles from employers that have already committed to sponsorship.
Does a master's degree improve my chances of H-1B selection or approval?
Yes, on both fronts. Applicants with a U.S. master's degree or higher enter the H-1B master's cap pool, which has better selection odds than the general pool. A master's in computer science or a related field also makes your specialty occupation case cleaner for USCIS, reducing the chance of a Request for Evidence questioning whether the role genuinely requires a degree at that level.
Can an O-1A visa work for Computer Vision Engineers instead of H-1B?
Yes, and it's worth considering if you have a strong research profile. The O-1A requires evidence of extraordinary ability, published papers, citations, conference presentations, awards, or high compensation relative to peers all count. There's no lottery and no cap, so approval isn't subject to registration odds. Computer Vision researchers with academic publications or high-impact industry work are often stronger O-1A candidates than they realize.
What is the prevailing wage requirement for sponsored Computer Vision Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.