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.
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Get Access To All JobsINTRODUCTION
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer a science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. This may explain why. NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI company”. Make your choice to join us today. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
ROLE AND RESPONSIBILITIES
What You'll Be Doing
- Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
- Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.
- Taking approaches from initial evaluation and experimentation all the way to shipping.
- Defining and collecting training datasets.
- Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).
BASIC QUALIFICATIONS
- PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Proven experience building robust software.
- Passionate about Artificial Intelligence for robotics and autonomous navigation.
- Strive to learn new things and like solving hard problems.
- Math knowledge.
- Experience in Deep Learning / Machine Learning. You have a background in Computer vision and/or Planning/Control.
- Programming and debugging skills in C++ and/or Python.
- Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.
PREFERRED QUALIFICATIONS
- Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems.
- Experience with Unsupervised or Self-supervised Learning.
- Involvement with architecture optimization, pruning, curriculum & multi-task training.
- Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training.
We believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2014050
INTRODUCTION
We are looking for a Deep Learning and Computer Vision engineer for our Autonomous Vehicles team. The role involves applying state-of-the-art techniques to build ground truth for autonomous vehicles, a critical aspect of our next-generation products. You will have the opportunity to work with top researchers and engineers in the field of deep learning and computer vision to deliver impact to our customers around the world. Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer a science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. The era of AI has begun. NVIDIA's GPUs run Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. This may explain why. NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as “the AI company”. Make your choice to join us today. We are training Deep Neural Networks for NVIDIA's Autonomous Vehicles effort, with the goal to enable autonomous driving. We are seeking Deep Learning/Machine Learning interns who are passionate about solving problems in perception, prediction, planning and control for self-driving cars to achieve full autonomy. Are you interested in inventing human level AI for navigation in the unconstrained world under any conditions? If so, join us!
ROLE AND RESPONSIBILITIES
What You'll Be Doing
- Stay up to date with the latest research and innovations in deep learning, implement and experiment with new ideas.
- Foster collaborative partnerships with our researchers and engineers, transforming innovative research into robust, industrial-strength machine learning models.
- Taking approaches from initial evaluation and experimentation all the way to shipping.
- Defining and collecting training datasets.
- Building training pipelines and real-time inference run-times (PyTorch, TensorFlow, TensorRT, Python, C++).
BASIC QUALIFICATIONS
- PhD with 1+ year, or MS (or equivalent experience) with 5+ years, of relevant experience in Computer Science, Computer Engineering, or a related technical field.
- Proven experience building robust software.
- Passionate about Artificial Intelligence for robotics and autonomous navigation.
- Strive to learn new things and like solving hard problems.
- Math knowledge.
- Experience in Deep Learning / Machine Learning. You have a background in Computer vision and/or Planning/Control.
- Programming and debugging skills in C++ and/or Python.
- Good communication and analytical skills. Ability to work with multiple teams in a dynamic environment.
PREFERRED QUALIFICATIONS
- Background in applying latest AI methods to solve Computer Vision and Autonomous Vehicles problems.
- Experience with Unsupervised or Self-supervised Learning.
- Involvement with architecture optimization, pruning, curriculum & multi-task training.
- Experience fusing data from different sensor modalities (e.g. Images and LIDAR data) to enable information conflation, label propagation, cross training.
We believe that realizing self-driving cars will be a defining contribution of our generation. We have the funding and scale, but we need your help. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 12, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
JR2014050
See all 46+ Computer Vision Engineer Jobs
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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.