Computer Vision Engineer Jobs for OPT Students
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 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.
See All Computer Vision Engineer JobsOverview
Showing 5 of 42+ Computer Vision Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 42+ 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 JobsHME has been creating innovative products for the drive-thru and pro-audio industries since 1971. From the very beginning, we've known these solutions would never have happened without the customer-focused people who make up our company. HME has a team environment with a culture of collaboration, learning, and growth. With subsidiaries located in California, Missouri, Canada, UK, India, and China, companies around the world depend on HME for clear, reliable communication solutions. From setting the standard for drive-thru headsets and timer systems in the quick service restaurant (QSR) industry to developing professional audio equipment used in the Olympic Games, HME strives to create the newest, most innovative products on the market while providing quality care and attention to its customers. At HME you will have the opportunity to learn and grow while developing our future products. Come join our team!
We are currently recruiting for a Computer Vision Engineer.
What you will do in the position:
- Design infrastructure for collecting training data from devices deployed in the field and build tools for verifying our computer vision models in real world environments.
- Define, implement, and optimize performance metrics for computer vision, data exploration, data analysis, and automated data validation pipeline.
- Validate the algorithms and models in pre and post production environments.
- Research and identify industry leading technical trends and technologies and translate your findings to suit HME’s business needs.
- Work on designs, tests, documents, and help guide clearly defined firmware/software projects.
- Attend design team meetings to provide input into the overall software architecture of a project.
- Provide project development effort and schedule estimates during project planning stages.
- Participate in the evaluation of new software technologies to be applied to future HME products.
- Demonstrates Agile capabilities and uses LEAN methodology in a scrum test with a dedicated mentor.
- Writes and validates unit tests and integration tests.
- Documents designs from high-level block diagrams down to specific implementation decisions.
- Collaborates on code reviews and updates functional specifications.
- Contributes to the new product development cycle (from design to implementation to testing).
- Maintains and builds upon existing features.
What you will need to succeed:
Qualifications
- Must have strong Python development experience in Computer Vision and Deep Learning production deployment.
- Experience of handling live streaming data coming from edge devices to the cloud is required. Knowledge of C/C++ or C# is a plus.
- Experience with training computer vision models that moved into production and experience with using custom datasets is highly desirable.
- Experience with computer vision deployments using tools like DeepStream, GStreamer, or ClearML.
- Experience with GPU deployments.
- You are comfortable with client-side UI front-end design as well as server-side back-end support.
- Proficient in communication and writing skills, with the ability to design in a group/collaborative setting.
- Good communication skills and works well in a team.
- Strong background and understanding in SDLC (Agile/SAFe).
- Experience with object-oriented analysis and design.
- Familiarity with CI/CD, version control (Git).
- Motivated with great attention to detail.
- Works well in a fast paced environment.
- Ability to use multiple operating systems (Linux, Mac OS X, Windows).
Education
- Bachelor's degree in Computer Science is required.
The posted pay range, $112,700 - $150,200, is what we reasonably expect to pay for the role. This may vary depending on experience and other factors. Our benefits package includes tuition reimbursement; 3 weeks paid vacation your first year, paid holidays, medical, vision, and dental coverage, pet insurance, life insurance, and 401K contributions.
The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
HME has been creating innovative products for the drive-thru and pro-audio industries since 1971. From the very beginning, we've known these solutions would never have happened without the customer-focused people who make up our company. HME has a team environment with a culture of collaboration, learning, and growth. With subsidiaries located in California, Missouri, Canada, UK, India, and China, companies around the world depend on HME for clear, reliable communication solutions. From setting the standard for drive-thru headsets and timer systems in the quick service restaurant (QSR) industry to developing professional audio equipment used in the Olympic Games, HME strives to create the newest, most innovative products on the market while providing quality care and attention to its customers. At HME you will have the opportunity to learn and grow while developing our future products. Come join our team!
We are currently recruiting for a Computer Vision Engineer.
What you will do in the position:
- Design infrastructure for collecting training data from devices deployed in the field and build tools for verifying our computer vision models in real world environments.
- Define, implement, and optimize performance metrics for computer vision, data exploration, data analysis, and automated data validation pipeline.
- Validate the algorithms and models in pre and post production environments.
- Research and identify industry leading technical trends and technologies and translate your findings to suit HME’s business needs.
- Work on designs, tests, documents, and help guide clearly defined firmware/software projects.
- Attend design team meetings to provide input into the overall software architecture of a project.
- Provide project development effort and schedule estimates during project planning stages.
- Participate in the evaluation of new software technologies to be applied to future HME products.
- Demonstrates Agile capabilities and uses LEAN methodology in a scrum test with a dedicated mentor.
- Writes and validates unit tests and integration tests.
- Documents designs from high-level block diagrams down to specific implementation decisions.
- Collaborates on code reviews and updates functional specifications.
- Contributes to the new product development cycle (from design to implementation to testing).
- Maintains and builds upon existing features.
What you will need to succeed:
Qualifications
- Must have strong Python development experience in Computer Vision and Deep Learning production deployment.
- Experience of handling live streaming data coming from edge devices to the cloud is required. Knowledge of C/C++ or C# is a plus.
- Experience with training computer vision models that moved into production and experience with using custom datasets is highly desirable.
- Experience with computer vision deployments using tools like DeepStream, GStreamer, or ClearML.
- Experience with GPU deployments.
- You are comfortable with client-side UI front-end design as well as server-side back-end support.
- Proficient in communication and writing skills, with the ability to design in a group/collaborative setting.
- Good communication skills and works well in a team.
- Strong background and understanding in SDLC (Agile/SAFe).
- Experience with object-oriented analysis and design.
- Familiarity with CI/CD, version control (Git).
- Motivated with great attention to detail.
- Works well in a fast paced environment.
- Ability to use multiple operating systems (Linux, Mac OS X, Windows).
Education
- Bachelor's degree in Computer Science is required.
The posted pay range, $112,700 - $150,200, is what we reasonably expect to pay for the role. This may vary depending on experience and other factors. Our benefits package includes tuition reimbursement; 3 weeks paid vacation your first year, paid holidays, medical, vision, and dental coverage, pet insurance, life insurance, and 401K contributions.
The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
How to Get Visa 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.
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 jobs are hiring across the US. Find yours.
Find Computer Vision Engineer JobsSee all 42+ 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 JobsFrequently 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 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.
See which Computer Vision Engineer employers are hiring and sponsoring visas right now.
Search Computer Vision Engineer Jobs