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 JobsINTRODUCTION
The Video Computer Vision organization is working on exciting technologies for current, such as the Apple Vision Pro, and future Apple products. We are looking for highly skilled and passionate engineers to address challenging problems at the boundaries of human perception and machine intelligence. In this role, you will collaborate closely with experts from a wide range of backgrounds whose creativity and passion has already led to the development of groundbreaking algorithms and whose ongoing designs and explorations will shape the future of mixed reality redefining the way we interact with the physical and digital world.
DESCRIPTION
You will create computer vision algorithms and deliver technologies with applications to augmented reality and device localization that are impactful, meaningful, and influential. We work closely with Apple’s best-in-class designers to ensure the products we ship are more than technical demos - they resonate with users at a personal level. In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results.
MINIMUM QUALIFICATIONS
BS and a minimum of 3 years relevant industry experience.
Strong software engineering skills and programming in C++.
Familiarity with classical and machine learning based computer vision.
PREFERRED QUALIFICATIONS
MS or PhD in computer vision, machine learning, robotics, or related fields.
Excellent background in visual / inertial sensing and localization / mapping (SLAM).
Solid foundation in 3D geometric computer vision.
Strong programming and system building skills, as well as experience on turning concepts into robust and efficient algorithms able to deal with the complexity of the real world.
Experience in developing, training and tuning domain specific ML model related to computer vision.
Proficiency in Python and PyTorch.
Excellent communication and experience working with multi-functional teams.
Curiosity and willingness to learn new things in order to improve the quality of their solutions.
Ability to make well-informed and practical decisions in a rapidly evolving environment.
Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
The Video Computer Vision organization is working on exciting technologies for current, such as the Apple Vision Pro, and future Apple products. We are looking for highly skilled and passionate engineers to address challenging problems at the boundaries of human perception and machine intelligence. In this role, you will collaborate closely with experts from a wide range of backgrounds whose creativity and passion has already led to the development of groundbreaking algorithms and whose ongoing designs and explorations will shape the future of mixed reality redefining the way we interact with the physical and digital world.
DESCRIPTION
You will create computer vision algorithms and deliver technologies with applications to augmented reality and device localization that are impactful, meaningful, and influential. We work closely with Apple’s best-in-class designers to ensure the products we ship are more than technical demos - they resonate with users at a personal level. In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results.
MINIMUM QUALIFICATIONS
BS and a minimum of 3 years relevant industry experience.
Strong software engineering skills and programming in C++.
Familiarity with classical and machine learning based computer vision.
PREFERRED QUALIFICATIONS
MS or PhD in computer vision, machine learning, robotics, or related fields.
Excellent background in visual / inertial sensing and localization / mapping (SLAM).
Solid foundation in 3D geometric computer vision.
Strong programming and system building skills, as well as experience on turning concepts into robust and efficient algorithms able to deal with the complexity of the real world.
Experience in developing, training and tuning domain specific ML model related to computer vision.
Proficiency in Python and PyTorch.
Excellent communication and experience working with multi-functional teams.
Curiosity and willingness to learn new things in order to improve the quality of their solutions.
Ability to make well-informed and practical decisions in a rapidly evolving environment.
Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 687+ H-1B Visa Computer Vision Engineer Jobs
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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.