Data Engineer Jobs at NVIDIA with Visa Sponsorship
Data Engineer jobs at NVIDIA sit at the intersection of large-scale infrastructure and applied AI, spanning data pipeline architecture, warehouse optimization, and platform engineering. NVIDIA has a strong track record of sponsoring work visas for this function, making it a realistic target for international candidates with the right technical background.
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Get Access To All JobsINTRODUCTION
Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.
ROLE AND RESPONSIBILITIES
- Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms
- Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.
- Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation.
- Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies.
BASIC QUALIFICATIONS
- Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
- 8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.
- Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.
- Excellent interpersonal skills with success contributing to projects within multi-discipline teams.
- Proven track record of contributions to scaled Python-based software projects
PREFERRED QUALIFICATIONS
- Experience with accelerated server architecture design and deployment, especially up to hyperscale.
- Background in parallel computing, server architecture, or datacenter design.
- An excitement and curiosity about the future of accelerated computing and AI
- Expertise in data analysis and visualization, especially pandas and associated technologies
- A love of technology and passion for your work!
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 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 January 13, 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
Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.
ROLE AND RESPONSIBILITIES
- Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms
- Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.
- Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation.
- Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies.
BASIC QUALIFICATIONS
- Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)
- 8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.
- Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.
- Excellent interpersonal skills with success contributing to projects within multi-discipline teams.
- Proven track record of contributions to scaled Python-based software projects
PREFERRED QUALIFICATIONS
- Experience with accelerated server architecture design and deployment, especially up to hyperscale.
- Background in parallel computing, server architecture, or datacenter design.
- An excitement and curiosity about the future of accelerated computing and AI
- Expertise in data analysis and visualization, especially pandas and associated technologies
- A love of technology and passion for your work!
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 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 January 13, 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.
See all Data Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Data Engineer Jobs at NVIDIA
Align your portfolio to NVIDIA's data stack
NVIDIA's Data Engineer roles consistently require experience with distributed systems, ETL pipelines, and cloud platforms like AWS or GCP. Before applying, build or document projects that reflect those tools specifically, not just generic SQL or Python work.
Target teams building internal AI infrastructure
NVIDIA hires Data Engineers across product, research, and enterprise IT. Roles supporting internal AI and GPU platform teams tend to have stronger sponsorship pathways, so filter your search toward those orgs rather than applying broadly across all open positions.
Use Migrate Mate to surface active sponsorship openings
Not every NVIDIA Data Engineer listing will signal sponsorship eligibility upfront. Migrate Mate filters job postings specifically for roles where visa sponsorship is available, saving you from investing time in applications that won't move forward for international candidates.
Request the LCA before your start date
Once NVIDIA extends an offer, confirm that the Labor Condition Application has been certified by DOL before your first day. The LCA must be on file and the prevailing wage must meet your offer, so asking early avoids a last-minute filing delay.
Clarify E-3 eligibility if you hold Australian citizenship
NVIDIA sponsors the E-3 visa, which is available only to Australian citizens. If you qualify, the E-3 avoids the H-1B lottery entirely and can be processed at a U.S. consulate, often faster than a change-of-status petition filed through USCIS.
Document specialized credentials that support EB-2 or EB-3 petitions
For long-term permanent residence, NVIDIA typically pursues PERM-based sponsorship through EB-2 or EB-3. Gather transcripts, performance reviews, and any patents or publications now. PERM labor certification requires detailed records of your qualifications matching the certified job description.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Data Engineers?
Yes, NVIDIA sponsors H-1B visas for Data Engineer roles. Because H-1B is subject to an annual lottery, your application enters the USCIS registration pool each April for an October start date. NVIDIA's legal and HR teams handle the petition process once you clear the lottery, but the timeline means offers typically need to be extended well before the registration window opens in March.
Which visa types does NVIDIA commonly sponsor for Data Engineer roles?
NVIDIA sponsors H-1B, E-3 visa, and Green Card pathways including EB-2 and EB-3 for Data Engineers. Australian citizens can use the E-3 visa, which bypasses the H-1B lottery and allows consular processing. Green Card sponsorship through PERM typically begins after you've established yourself in the role, with EB-2 or EB-3 as the most common routes for this function.
How do I apply for Data Engineer jobs at NVIDIA?
Applications go through NVIDIA's careers portal, where you'll submit a resume tailored to the specific team and stack listed in the job description. For international candidates, Migrate Mate surfaces active NVIDIA Data Engineer roles that include visa sponsorship, so you can focus your time on positions that are actually open to candidates who need work authorization. Technical screens and system design interviews follow the initial application review.
What qualifications does NVIDIA expect for Data Engineer roles?
NVIDIA Data Engineer roles typically require a bachelor's or master's degree in computer science, data engineering, or a related field, along with hands-on experience building scalable data pipelines and working with distributed processing frameworks like Spark or Flink. Familiarity with cloud data warehouses such as Snowflake or BigQuery and experience in Python or Scala are common requirements across postings. Roles closer to AI infrastructure may also expect experience with feature stores or ML pipeline tooling.
How do I plan my timeline when pursuing H-1B sponsorship through NVIDIA?
The H-1B cap year runs on a fixed federal calendar: USCIS opens registration in March, the lottery runs in April, and approved petitions carry an October 1 start date. If you're currently on OPT or another status, coordinate your offer timing with that schedule. USCIS premium processing is available and cuts adjudication to 15 business days, which NVIDIA may elect to use depending on your start date requirements.