E-3 Visa AI Developer Jobs
AI Developer roles in the U.S. qualify as specialty occupations under the E-3 visa, which means Australian professionals can secure sponsorship without entering a lottery. The E-3 has a 10,500-annual allocation that has never been exhausted, and your employer files the Labor Condition Application before your consulate appointment.
Find E-3 Visa AI Developer JobsOverview
Showing 5 of 52+ AI Developer jobs
See all 52+ AI Developer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Developer roles.
Get Access To All JobsINTRODUCTION
We are now looking for an AI Developer Technology Engineering Manager: Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects.
ROLE AND RESPONSIBILITIES
What You’ll Be Doing
- Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications
- Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications
- Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models
- Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans
- Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges
- Coach and grow your team, promoting a culture of engineering excellence and idea proliferation
BASIC QUALIFICATIONS
- An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).
- 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.
- In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference
- Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.
- Programming fluency in C/C++ with a deep understanding of algorithms and software development.
- Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations
- Excellent written and presentation skills.
- Proven track record of planning and leading critical initiatives.
PREFERRED QUALIFICATIONS
- A PhD in a relevant field
- Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives
- Proven experience with recruiting top talent.
ABOUT DEVTECH
What's DevTech? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA’s leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, 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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until March 21, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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.
JR1995883
INTRODUCTION
We are now looking for an AI Developer Technology Engineering Manager: Join our global Developer Technology (DevTech) team at NVIDIA, where we drive innovation and enhance the value of our platforms for developers. As a key member of our AI DevTech team, you'll lead a team of highly skilled engineers accelerating end-to-end performance of real-world Deep Learning and Machine Learning applications and developing novel algorithms to optimally leverage Nvidia hardware. Application examples are Large Language Models (LLMs), Computer Vision, Speech, Recommender Systems, and Multimodal architectures. As a Developer Technology Manager, you'll define and lead strategic technical initiatives, setting short- and long-term goals for your team. You'll work closely with customers as well as NVIDIA Research, hardware, and software teams to drive innovation and advance the state-of-the-art in accelerated Deep Learning and Machine Learning. Your team will focus on optimizing performance of complex parallel algorithms and workloads on NVIDIA platforms, including GPU, CPU, and interconnects.
ROLE AND RESPONSIBILITIES
What You’ll Be Doing
- Lead your team to optimize and develop algorithms for Machine Learning and Deep Learning applications
- Define and drive technical initiatives to advance the state-of-the-art in accelerated Deep Learning and Machine Learning applications
- Collaborate with research, hardware, and software teams to influence the design of next-generation hardware, software, and programming models
- Develop and communicate technical solutions to external and internal collaborators, including technical design decisions and project plans
- Hire the best talent to join your team, promoting a diverse and skilled team that can tackle complex technical challenges
- Coach and grow your team, promoting a culture of engineering excellence and idea proliferation
BASIC QUALIFICATIONS
- An MS or PhD in Computer Science, Computer Engineering, or in a related computationally focused science or engineering degree (or equivalent experience).
- 8+ overall years of relevant experience with 5+ years in a technical role and 3+ years of experience in an engineering leadership role.
- In-depth expertise in linear algebra and performance optimization of Deep Learning training and inference
- Background in parallel programming, e.g., CUDA, OpenMP, MPI, pthreads, etc.
- Programming fluency in C/C++ with a deep understanding of algorithms and software development.
- Knowledge of CPU and GPU architecture fundamentals and low-level performance optimizations
- Excellent written and presentation skills.
- Proven track record of planning and leading critical initiatives.
PREFERRED QUALIFICATIONS
- A PhD in a relevant field
- Expertise in LLMs, multimodal model architecture and performance optimizations of relevant computational primitives
- Proven experience with recruiting top talent.
ABOUT DEVTECH
What's DevTech? We are a global organization whose mission is to drive innovation we see in the market towards our products. As recognized specialists across many domains, our work makes valuable contributions in two important ways. Our solutions are at the forefront of technology, advancing NVIDIA’s leadership in accelerated computing. Our discoveries generate learnings that benefit the Developer Community and provides guidance to help make our products better. NVIDIA's success in the advancement and availability of Artificial Intelligence has created incredible growth across the Company, and Developer Technology Engineering has been steadily growing to meet the demands for our services. We now have need for a leader to join and help continue our momentum. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking and hardworking people in the world working here. If you love building and mentoring a team and are highly technical and enthusiastic about Deep Learning and GPU accelerated AI performance optimizations, 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 224,000 USD - 356,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until March 21, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse 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.
JR1995883
See all 52+ E-3 Visa AI Developer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI Developer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Developer
Align your credentials to specialty occupation standards
Your Australian degree needs to map directly to AI development, not just technology broadly. A bachelor's in computer science, data science, or a related field satisfies the specialty occupation requirement. A general IT degree may draw scrutiny without supporting documentation.
Target employers with active LCA filing history
Search the DOL's Foreign Labor Application Gateway for certified LCA filings under SOC codes tied to software and AI roles. Employers who have filed before understand the process and won't need educating on E-3 visa basics during your offer negotiation.
Confirm your job title maps to a qualifying SOC code
AI Developer roles are typically classified under SOC 15-1252 (Software Developers) or 15-2051 (Data Scientists). Ask your employer to confirm the SOC code before the LCA is filed, since misclassification can delay certification or trigger a DOL audit.
Use Migrate Mate's E-3 filing service for your paperwork
Once you have an offer, Migrate Mate's E-3 filing service handles the LCA submission, DS-160 preparation, and consulate documentation. This removes the risk of procedural errors that delay your start date or require resubmission.
Prepare for employer questions about E-3 versus H-1B
Many U.S. employers assume sponsorship means H-1B lottery risk. Clarify upfront that the E-3 has no lottery, no cap backlog for Australians, and a faster timeline from offer to consulate appointment, which reduces employer hesitation.
Time your consulate appointment around your start date
The E-3 is consular-processed, so you'll attend an interview in Sydney, Melbourne, or Perth after your employer's LCA is certified. Factor in current appointment wait times when negotiating your start date to avoid committing to a timeline that isn't achievable.
E-3 Visa AI Developer: Frequently Asked Questions
How do I find AI Developer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. You can filter by job title and see employers with verified sponsorship history. General job boards don't filter by visa type, so you'll spend most of your time screening out roles where sponsorship isn't available.
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 an AI Developer role qualify as a specialty occupation for the E-3 visa?
Yes, provided the position requires a bachelor's degree or higher in a specific technical field such as computer science, data science, or machine learning. Roles where any degree suffices, regardless of field, may not qualify. Your employer's job description needs to state that a relevant degree is a minimum requirement, not a preference.
How does the E-3 compare to the H-1B for AI Developer roles?
The H-1B is subject to an annual lottery with a roughly 25% selection rate, meaning most applicants aren't chosen in a given year. The E-3 has no lottery and a 10,500 annual cap that has never been reached. For Australian AI Developers, this means a predictable path from job offer to work authorization without the uncertainty of a random selection process.
Can I switch AI Developer employers after arriving on an E-3 visa?
Yes, but each employer change requires a new LCA and a new E-3 visa stamp. You can't simply transfer your existing visa to a new employer the way some other visa categories allow. Your new employer files a fresh LCA with the DOL before you attend a new consulate appointment, which means factoring in processing time between roles.