E-3 Visa Computer Scientist Jobs
Computer Scientist roles in the U.S. qualify as E-3 visa specialty occupations, and the visa's no-lottery structure means sponsorship is available year-round with no annual cutoff. Australian professionals with a degree in computer science or a closely related field can apply directly to U.S. employers and start the LCA process as soon as an offer is secured.
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Get Access To All JobsWe 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!
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++).
What we need to see:
- PhD with 4+ years or MS (or equivalent experience) with 6+ 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.
Ways to stand out from the crowd:
- 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 24, 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.
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!
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++).
What we need to see:
- PhD with 4+ years or MS (or equivalent experience) with 6+ 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.
Ways to stand out from the crowd:
- 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 24, 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.
See all 609+ E-3 Visa Computer Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Computer Scientist Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Computer Scientist
Align your degree field to the role
USCIS requires your degree to match the specific specialty, not just demonstrate general technical ability. A computer science or software engineering degree supports most Computer Scientist roles; an unrelated field creates RFE risk even with strong experience.
Document your research and publications portfolio
Computer Scientist positions often involve R&D work that consular officers scrutinize closely. Compile peer-reviewed publications, patents, and project documentation before applying, since gaps in this record are a common reason for additional questioning at the interview.
Target employers with active R&D labs
Federal contractors, national laboratories, and university-affiliated research centers regularly hire Computer Scientists and have established E-3 filing workflows. These organizations understand the LCA requirement and won't need to be educated on the sponsorship process from scratch.
Search for E-3 sponsorship on Migrate Mate
Most job boards don't filter by visa sponsorship type, which wastes time on employers who only know the H-1B visa. Use Migrate Mate's E-3 filing service to connect with employers already set up to sponsor, and handle your LCA and visa paperwork from offer to consulate appointment.
Confirm your offer letter covers specialty occupation
Your offer letter must describe duties that require a theoretical and practical application of highly specialized knowledge. Generic job descriptions referencing broad software work can fail the specialty occupation test at the consulate, so review the language with your employer before the LCA is filed.
Start the LCA at least three weeks before your target start date
The DOL certifies Labor Condition Applications within seven working days, but errors or system delays push that out. Filing early leaves room to correct mistakes without disrupting your consulate appointment booking, which is often scheduled weeks in advance.
E-3 Visa Computer Scientist: Frequently Asked Questions
How do I find Computer Scientist jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 sponsorship. Standard job platforms don't distinguish between H-1B and E-3 sponsors, so you often end up pursuing employers who have no process for Australian applicants. Migrate Mate surfaces roles where employers are already set up to support the E-3 filing, saving you time filtering out dead ends.
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 Scientist role qualify as a specialty occupation for the E-3?
Yes, provided the position requires a theoretical and practical application of highly specialized knowledge and a bachelor's degree or higher in computer science, software engineering, or a directly related field. Roles focused on applied research, algorithm development, or systems architecture generally meet this standard. Broad IT support or generalist engineering roles are harder to qualify if the job description doesn't require that specific degree field.
How does the E-3 compare to the H-1B for Computer Scientists in the U.S.?
The E-3 has a 10,500 annual allocation that has never been fully used, so there's no lottery and no cap-driven delay. The H-1B requires registration in an annual lottery with roughly a 25% selection rate for most applicants. For Australian Computer Scientists, the E-3 means you can accept an offer and start the filing process immediately rather than waiting up to a year for a lottery result.
Can I switch Computer Scientist employers while on an E-3?
Yes, but you need a new LCA certified by the DOL and a new E-3 visa stamp from a U.S. consulate before starting with the new employer. There's no portability rule equivalent to the H-1B's AC21 provision, so the process resets with each job change. If your current E-3 stamp has remaining validity, some consulates allow you to obtain the new stamp at a border post rather than returning to Australia.