Data Analytics Engineer Jobs at NVIDIA with Visa Sponsorship
Data Analytics Engineer roles at NVIDIA sit at the intersection of large-scale data infrastructure and product intelligence, supporting GPU computing, AI platforms, and enterprise solutions. NVIDIA has a consistent track record of sponsoring international talent in technical engineering functions, making it a realistic target for H-1B and E-3 applicants.
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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 Data Analytics Engineer Jobs at NVIDIA Jobs
Align Your Portfolio to NVIDIA's Data Stack
NVIDIA's Data Analytics Engineering roles frequently involve pipelines built on Spark, dbt, and cloud-native warehouses like Snowflake or BigQuery. Frame your portfolio projects around GPU-accelerated analytics or AI-adjacent data workflows to signal direct relevance before your application lands with a recruiter.
Target Roles Listed Under Hardware and Platform Divisions
NVIDIA posts Data Analytics Engineer openings across multiple internal divisions. Roles tied to GeForce, CUDA, or enterprise AI platforms tend to have longer hiring cycles but stronger sponsorship intent, since they sit within established headcount plans rather than exploratory team builds.
Confirm Specialty Occupation Standing for Your Degree
H-1B eligibility requires your role to qualify as a specialty occupation under USCIS standards, meaning a specific bachelor's degree field is normally the minimum entry requirement. If your degree is in a tangential field like applied mathematics or statistics, gather documentation showing direct relevance to the Data Analytics Engineer job description before the offer stage.
Negotiate Offer Timing Around the H-1B Cap Calendar
USCIS opens H-1B registration each March for an October 1 start date. If you receive an offer outside that window, ask NVIDIA's immigration team early whether a cap-exempt pathway or a change-of-status bridge on a current visa applies to your situation.
Use Migrate Mate to Filter Open Roles by Visa Type
NVIDIA maintains a large number of active Data Analytics Engineer openings at any given time. Use Migrate Mate to filter specifically for positions tagged to H-1B or E-3 sponsorship, so you're only investing preparation time in roles where your visa pathway is already supported.
Prepare for a Technical Loop Before Immigration Discussions Begin
NVIDIA's interview process for analytics engineering roles typically includes SQL and data modeling assessments alongside system design questions. Immigration and sponsorship conversations happen after the technical loop clears, so demonstrate technical depth first rather than raising visa logistics in early recruiter screens.
Data Analytics Engineer at NVIDIA jobs are hiring across the US. Find yours.
Find Data Analytics Engineer at NVIDIA JobsFrequently Asked Questions
Does NVIDIA sponsor H-1B visas for Data Analytics Engineers?
Yes, NVIDIA sponsors H-1B visas for Data Analytics Engineer roles. The company works with immigration counsel to file petitions through the standard USCIS cap process each spring, with an October 1 employment start date. If you're already on a valid status like F-1 OPT or L-1, NVIDIA can also support a change of status rather than requiring consular processing.
How do I apply for Data Analytics Engineer jobs at NVIDIA?
Applications go through NVIDIA's careers portal at nvidia.com/en-us/about-nvidia/careers. Search for Data Analytics Engineer and filter by location or team. Tailor your resume to reflect data pipeline experience, analytical tooling relevant to NVIDIA's stack, and any GPU or AI-adjacent project work. You can also browse verified sponsorship-tagged openings on Migrate Mate to identify which postings actively support international candidates.
Which visa types does NVIDIA commonly use for Data Analytics Engineer roles?
NVIDIA sponsors H-1B visas most frequently for Data Analytics Engineers, which covers the broadest pool of international applicants. Australian citizens are eligible for the E-3 visa, which bypasses the H-1B lottery and follows a similar specialty occupation standard. For longer-term pathways, NVIDIA also supports Green Card sponsorship through EB-2 and EB-3 classifications, typically initiated after an employee has been with the company for some time.
What qualifications and experience does NVIDIA expect for Data Analytics Engineers?
NVIDIA typically expects a bachelor's degree or higher in computer science, data engineering, statistics, or a closely related field. Hands-on experience with SQL, Python, and at least one cloud data warehouse platform is standard. Roles that sit closer to the AI infrastructure side of the business often expect familiarity with large-scale data pipelines, ETL orchestration tools like Airflow, and some exposure to GPU computing environments or ML data workflows.
How do I navigate the timeline between offer and visa filing at NVIDIA?
The critical window is USCIS's H-1B registration period, which opens in early March each year. NVIDIA's immigration team needs to register your petition before that deadline for an October 1 start. If you receive your offer after registration closes, discuss bridge options with your recruiter, including whether your current F-1 OPT or another status allows you to begin work while the next cap cycle opens.
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