OPT Computer Vision Engineer Jobs
Computer Vision Engineer roles are among the most OPT-friendly in tech, with strong demand from autonomous vehicle, robotics, and defense companies that regularly sponsor H-1B visa and O-1 visas. Most positions require a master's or PhD in computer science or electrical engineering, which aligns well with STEM OPT's 24-month extension.
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Get Access To All JobsSUMMARY
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.
COMPENSATION
- 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Apple believes accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
SUMMARY
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.
COMPENSATION
- 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Apple believes accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.
Apple accepts applications to this posting on an ongoing basis.
See all 252+ OPT Computer Vision Engineer Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Computer Vision Engineer
Target STEM-designated programs first
Computer Vision Engineering falls squarely under STEM OPT eligibility. Confirm your degree's CIP code qualifies before applying, and prioritize employers with established E-Verify enrollment, which is required for your 24-month STEM extension.
Lead with your technical stack in applications
Employers scanning OPT candidates want to see PyTorch, OpenCV, CUDA, and specific architecture experience like YOLO or Transformers upfront. Put these in your resume summary, not buried under bullet points, to pass automated screening quickly.
Pursue research-to-industry pipelines
Many Computer Vision roles at companies like Waymo, Apple, and NVIDIA grow directly from academic research relationships. University lab publications, conference papers at CVPR or ICCV, and internship conversions are strong sponsorship entry points worth prioritizing.
File your STEM OPT extension early
Submit your STEM OPT extension application at least 90 days before your initial OPT expires. Your DSO must update your SEVIS record, and USCIS processing can take weeks, so do not wait until the final month.
Address OPT timing proactively with hiring managers
Mention your OPT end date and STEM extension eligibility in early conversations. Employers unfamiliar with OPT often fear short authorization windows, so explaining the three-year total timeline removes hesitation before it becomes a rejection reason.
Build a portfolio demonstrating real-world deployment
Hiring managers for Computer Vision roles want evidence you can take models from research to production. Publicly available GitHub projects showing inference optimization, edge deployment, or dataset annotation pipelines significantly strengthen sponsorship conversations with engineering managers.
Computer Vision Engineer OPT: Frequently Asked Questions
Can I work as a Computer Vision Engineer on OPT without H-1B sponsorship right away?
Yes. OPT authorizes full-time employment in your field for 12 months initially, with a 24-month STEM extension available if your degree qualifies and your employer is E-Verify enrolled. Most Computer Vision roles at tech and defense companies meet those conditions, giving you up to three years of authorized work before H-1B visa sponsorship becomes necessary.
Do Computer Vision Engineer roles typically qualify for the STEM OPT extension?
Computer Vision Engineering positions almost always qualify because the underlying degrees, typically computer science, electrical engineering, or applied mathematics, carry STEM-designated CIP codes. The role itself must also be directly related to that field of study, which is straightforward to document for computer vision work. Your DSO will confirm your specific degree qualifies before filing.
Which types of employers are most likely to sponsor OPT Computer Vision Engineers for H-1B?
Autonomous vehicle companies, robotics firms, semiconductor manufacturers, and defense contractors consistently sponsor Computer Vision Engineers at high rates because the skill set is specialized and hard to source domestically. Large tech companies building camera-based products also sponsor regularly. Migrate Mate filters job listings by visa sponsorship history, making it straightforward to identify which employers actively hire OPT candidates in this role.
Does contract or consulting work count toward OPT for Computer Vision Engineering positions?
Yes, contract work can count toward OPT as long as it is directly related to your degree field and meets the minimum 20-hours-per-week requirement during standard OPT. However, for the STEM OPT extension, your employer must be a formal E-Verify participant and provide a training plan on Form I-983. Short-term project contracts through staffing agencies often do not satisfy these conditions, so verify compliance carefully.
How should I handle the gap between OPT expiration and H-1B approval as a Computer Vision Engineer?
If your employer files an H-1B petition before your OPT expires and USCIS issues a receipt notice, cap-gap protections automatically extend your OPT authorization through September 30 of that year. Computer Vision Engineers with approved H-1B petitions starting October 1 are fully covered by this bridge. Plan your STEM OPT end date and H-1B filing timeline together with your employer's immigration attorney well in advance.