E-3 Visa Computer Vision Engineer Jobs
Computer Vision Engineer roles qualify as E-3 visa specialty occupations, making them strong candidates for sponsorship with Australian nationals. The E-3 has no lottery and no annual cap, so you can apply as soon as you have a qualifying job offer and an approved Labor Condition Application from your employer.
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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 E-3 Visa Computer Vision Engineer Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Computer Vision Engineer
Frame your portfolio around production systems
Hiring managers in computer vision distinguish between research prototypes and deployed pipelines. Showcase models you've shipped to production, inference latency benchmarks, and hardware constraints you've solved. This signals specialty occupation depth that strengthens your E-3 petition.
Verify your degree maps to the role
E-3 requires a degree in a field directly related to the position. A bachelor's in electrical engineering or computer science typically maps cleanly, but applied mathematics or physics degrees may need a credential evaluation to confirm the specialty occupation connection.
Target employers with active DOL LCA history
Search the DOL's Foreign Labor Certification (OFLC) disclosure data for companies that have filed LCAs for software or machine learning roles. Employers already familiar with LCA certification move faster and are less likely to back out over process uncertainty.
Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork
After you receive an offer, Migrate Mate's E-3 filing service manages the LCA submission to DOL, prepares your DS-160, and readies your consulate documentation. This keeps the process on track and reduces the chance of delays from employer-side paperwork errors.
Address employer concerns about timeline upfront
E-3 consulate appointments at Sydney, Melbourne, or Perth can book out several weeks. Give your employer a realistic timeline from offer acceptance to start date, so they don't rescind or convert the role to a local hire while you wait.
Negotiate remote or delayed start to cover visa processing
Unlike H-1B visa, E-3 doesn't require USCIS petition approval before you travel, but you do need your visa stamp before entering the U.S. to work. Agree on a contingent start date tied to consulate appointment availability, not a fixed calendar date.
E-3 Visa Computer Vision Engineer: Frequently Asked Questions
How do I find Computer Vision Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 sponsorship roles. Filter by Computer Vision Engineer positions and you'll see employers who have indicated willingness to sponsor E-3 visas, saving you the time of cold-applying to companies that have never filed an LCA before.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Computer Vision Engineer role qualify as a specialty occupation for the E-3?
Yes. Computer Vision Engineer roles require at least a bachelor's degree in computer science, electrical engineering, or a closely related field, which satisfies the E-3 specialty occupation definition. The job duties must align with that degree field, so a role mixing general software development with computer vision should have computer vision as a primary function in the job description.
How does the E-3 compare to the H-1B for Computer Vision Engineers?
The E-3 has no annual cap and no lottery, so you can apply at any time of year as soon as you have a job offer. The H-1B has an 85,000-slot annual cap with a lottery that selects only a fraction of registrants each cycle. For Australian nationals, the E-3 is a faster and more reliable path into a U.S. computer vision role.
Can I switch Computer Vision Engineer employers while on an E-3?
Yes, but you need a new LCA and a new visa appointment for each employer change. The E-3 is employer-specific, so you can't simply transfer your existing status to a new company the way some other visa categories allow. You'll need your new employer to file an LCA with DOL before you start, and you'll need a new E-3 stamp before returning to the U.S. if you travel internationally.