E-3 Visa Data Analytics Engineer Jobs
Data Analytics Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in a quantitative field. Australian professionals can secure two-year work authorization with no lottery and no annual cap, making it one of the most direct paths to U.S. data roles.
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Get Access To All JobsINTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are a world-class autonomous driving hardware and software development team. We have the best platform and have maintained a leading position in the field of artificial intelligence. Next, we will continue to deepen our efforts in the autonomous driving field and strive to bring sustained growth to our customers.
ROLE AND RESPONSIBILITIES
We're looking for a Senior Data Analysis Engineer, AD critical metrics with strong technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real-time challenges outstanding to the automotive industry and our automotive products. This is a key role to support AV software agile iteration & development for the release of clients, together working with the engineering teams, understanding the AV stack deeply and providing data-based judgement and delivering high-quality AV software to end customer.
What you’ll be doing:
- Work with Product, Engineering, In-car testing team on AD product performance definition, make triage plan, provide performance assessment and release judgments.
- Supervise and categorize test events from the scaling test, present spike critical metric trends and top issues with deep analysis.
- Collaborate with multi-functional teams to define data analysis requirements and process, supervise and improve large scale triage efficiency and quality.
- Improve end to end driving policy product/model performance with data quantity, quality and diversity.
- Automate product critical metric generation and robust evaluation to represent on the dashboard, provide triage target vision to support critical metric teams to understand the current state of our product/software and make priorities.
BASIC QUALIFICATIONS
- Bachelors or equivalent experience in Computer Science, Electrical Engineering, AI or related fields
- 8+ proven experience on ADAS/AD vehicle/digital test, data analysis and large datasets from customer cars.
- Proficiency in Python and a deep understanding of software engineering practices
- Technical in nature and be able to zoom in and out of scope as needed from the lowest detail to high level vision of the job
- Problem solver and “Buck stops with you”
- Excellent communication and presentation skills
PREFERRED QUALIFICATIONS
- Strong in scripting/tools development.
- Expert reciprocal and interpersonal skills, specifically a confirmed ability to effectively guide and influence within a dynamic work environment.
COMPENSATION
- 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 - 253,000 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 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.
INTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We are a world-class autonomous driving hardware and software development team. We have the best platform and have maintained a leading position in the field of artificial intelligence. Next, we will continue to deepen our efforts in the autonomous driving field and strive to bring sustained growth to our customers.
ROLE AND RESPONSIBILITIES
We're looking for a Senior Data Analysis Engineer, AD critical metrics with strong technical ability to deeply understand architectures and strong scripting experience to automate and Triage methodology, and the leadership to encourage our engineering team. As a key member of our automotive group, you'll be working on the real-time challenges outstanding to the automotive industry and our automotive products. This is a key role to support AV software agile iteration & development for the release of clients, together working with the engineering teams, understanding the AV stack deeply and providing data-based judgement and delivering high-quality AV software to end customer.
What you’ll be doing:
- Work with Product, Engineering, In-car testing team on AD product performance definition, make triage plan, provide performance assessment and release judgments.
- Supervise and categorize test events from the scaling test, present spike critical metric trends and top issues with deep analysis.
- Collaborate with multi-functional teams to define data analysis requirements and process, supervise and improve large scale triage efficiency and quality.
- Improve end to end driving policy product/model performance with data quantity, quality and diversity.
- Automate product critical metric generation and robust evaluation to represent on the dashboard, provide triage target vision to support critical metric teams to understand the current state of our product/software and make priorities.
BASIC QUALIFICATIONS
- Bachelors or equivalent experience in Computer Science, Electrical Engineering, AI or related fields
- 8+ proven experience on ADAS/AD vehicle/digital test, data analysis and large datasets from customer cars.
- Proficiency in Python and a deep understanding of software engineering practices
- Technical in nature and be able to zoom in and out of scope as needed from the lowest detail to high level vision of the job
- Problem solver and “Buck stops with you”
- Excellent communication and presentation skills
PREFERRED QUALIFICATIONS
- Strong in scripting/tools development.
- Expert reciprocal and interpersonal skills, specifically a confirmed ability to effectively guide and influence within a dynamic work environment.
COMPENSATION
- 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 - 253,000 USD.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 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.
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Analytics Engineer
Frame your degree for specialty occupation
Australian three-year bachelor's degrees in statistics, computer science, or mathematics are accepted as equivalent to U.S. four-year degrees. Make sure your credential evaluation letter explicitly names the field, not just the level, before you apply.
Target employers with active LCA filing history
Search the DOL's OFLC disclosure data for employers who have filed LCAs under SOC code 15-2051 or 15-1243. Companies with recent filings already understand the E-3 process and won't need educating at the offer stage.
Use Migrate Mate to find E-3 sponsoring employers
Migrate Mate filters Data Analytics Engineer roles by E-3 visa sponsorship so you're not guessing which employers will support the process. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once you have an offer.
Address the specialty occupation test early
Consular officers assess whether a Data Analytics Engineer role genuinely requires a specific degree, not just any bachelor's. Ask your employer to write a job description that ties the role's core duties, such as building data pipelines or statistical modeling, to your exact field of study.
Negotiate LCA filing into your offer timeline
The LCA must be certified by DOL before your consulate appointment can proceed. Build at least two weeks of LCA processing time into your start date discussion so a slow certification doesn't push back your first day.
Prepare for prevailing wage scrutiny at mid-size firms
DOL prevailing wage levels for data analytics roles vary significantly by metro area. Smaller employers sometimes offer below Level II wages without realizing the LCA will be rejected. Confirm the offered salary meets the DOL wage level for your work location before signing.
Data Analytics Engineer jobs are hiring across the US. Find yours.
Find Data Analytics Engineer JobsData Analytics Engineer E-3 Visa: Frequently Asked Questions
Where can I find Data Analytics Engineer jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It surfaces Data Analytics Engineer roles where employers are open to E-3 visa sponsorship, so you're not sorting through listings that will reject you at the offer stage. General job boards don't filter by visa type, which wastes time when you need an employer who already understands the E-3 process.
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 Data Analytics Engineer role qualify as an E-3 specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a specific field such as statistics, computer science, mathematics, or information systems. The role must be one where the degree is a genuine requirement, not just a preference. Generic analyst roles where any degree is accepted can fail the specialty occupation test, so the job description your employer writes matters.
How does the E-3 compare to the H-1B for Data Analytics Engineers?
The E-3 has no lottery and no annual cap, so you can apply at any point in the year and get a decision within weeks of your consulate appointment. The H-1B requires lottery registration in March, with a roughly one-in-four selection rate. For Australian nationals in data roles, the E-3 is almost always the faster and more reliable path to U.S. authorization.
Can I switch Data Analytics Engineer employers while on an E-3?
Yes, but you need a new LCA and a new visa stamp or a change of status filing for each employer. The E-3 is employer-specific, so your current authorization doesn't transfer. If you're changing jobs, your new employer must file a fresh LCA with DOL before you start. There's no portability rule like the H-1B's 60-day job change provision.
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