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
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 42+ H-1B Visa Computer Vision Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Computer Vision Engineer Jobs.
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.