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
NVIDIA is seeking a Senior Data Center Cooling Systems Engineer to help develop efficient liquid-cooling solutions for high-density computing. You will work across rack, facility, and campus infrastructure to improve cooling performance, energy use, water use, reliability, acoustics, and heat reuse.
We seek an expert engineer with expertise in one or more areas, including single-phase liquid cooling, refrigeration, pumped two-phase cooling, facility cooling, heat rejection, energy and water optimization, or waste-heat recovery. Candidates need not be knowledgeable in every field.
What You’ll Be Doing:
- Develop and evaluate single-phase liquid-cooling and pumped refrigeration systems for high-density computing.
- Link rack-level cooling needs with facility cooling, heat rejection, and plant controls.
- Use engineering analysis and simulation to study thermal performance, fluid flow, pressure, controls, and system response.
- Compare build options based on energy use, water consumption, reliability, footprint, noise, cost, and heat-reuse potential.
- Partner with suppliers and research collaborators to advance cooling and heat-rejection products.
- Plan tests, review results, and compare simulation predictions with measured performance.
- Turn technical findings into build requirements, reference architectures, supplier specifications, and technology roadmaps.
What We Need to See:
- Master’s degree in Mechanical Engineering, Thermal Engineering, Energy Engineering, Refrigeration Engineering, or a similar area of study, with equivalent experience.
- Over 12 years of pertinent experience in data center cooling, liquid cooling, refrigeration, thermal systems, heat rejection, or critical facilities.
- Knowledge of thermodynamics, fluid mechanics, heat transfer, refrigeration cycles, and thermal-hydraulic systems.
- Experience in at least one applicable field, such as direct liquid cooling, pumped refrigeration, two-phase cooling, facility cooling, heat rejection, acoustics, or waste-heat recovery.
- Experience with cooling equipment such as coolant distribution units, chillers, pumps, heat exchangers, cooling towers, or dry coolers.
- Experience with computational fluid dynamics or fluid-network modeling tools, such as Cadence Reality DC Build, Ansys, Siemens Simcenter STAR-CCM+, Flownex, or comparable software.
- Ability to translate engineering analysis into practical builds, test plans, technical requirements, and implementation recommendations.
- Clear communication skills and experience working with suppliers, research partners, and multi-functional engineering teams.
Ways to Stand Out from the Crowd:
- PhD or equivalent experience in Mechanical Engineering, Thermal Sciences, Refrigeration, Energy Systems, or a closely related area.
- Experience with hyperscale data centers, high-performance computing systems, or other high-density computing environments.
- Experience with pumped two-phase refrigeration, flow boiling, advanced liquid cooling, or low-global-warming-potential refrigerants.
- Experience addressing water use, facility noise, waste-heat recovery, or other community concerns related to data center infrastructure.
- Contributions to standards, patents, technical publications, or industry research communities.
NVIDIA is widely considered one of the technology world’s most desirable employers. We encourage collaborative engineers who enjoy solving complex problems, learning across fields, and developing more balanced computing infrastructure.
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 5, and 216,000 USD - 345,000 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 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.
INTRODUCTION
NVIDIA is seeking a Senior Data Center Cooling Systems Engineer to help develop efficient liquid-cooling solutions for high-density computing. You will work across rack, facility, and campus infrastructure to improve cooling performance, energy use, water use, reliability, acoustics, and heat reuse.
We seek an expert engineer with expertise in one or more areas, including single-phase liquid cooling, refrigeration, pumped two-phase cooling, facility cooling, heat rejection, energy and water optimization, or waste-heat recovery. Candidates need not be knowledgeable in every field.
What You’ll Be Doing:
- Develop and evaluate single-phase liquid-cooling and pumped refrigeration systems for high-density computing.
- Link rack-level cooling needs with facility cooling, heat rejection, and plant controls.
- Use engineering analysis and simulation to study thermal performance, fluid flow, pressure, controls, and system response.
- Compare build options based on energy use, water consumption, reliability, footprint, noise, cost, and heat-reuse potential.
- Partner with suppliers and research collaborators to advance cooling and heat-rejection products.
- Plan tests, review results, and compare simulation predictions with measured performance.
- Turn technical findings into build requirements, reference architectures, supplier specifications, and technology roadmaps.
What We Need to See:
- Master’s degree in Mechanical Engineering, Thermal Engineering, Energy Engineering, Refrigeration Engineering, or a similar area of study, with equivalent experience.
- Over 12 years of pertinent experience in data center cooling, liquid cooling, refrigeration, thermal systems, heat rejection, or critical facilities.
- Knowledge of thermodynamics, fluid mechanics, heat transfer, refrigeration cycles, and thermal-hydraulic systems.
- Experience in at least one applicable field, such as direct liquid cooling, pumped refrigeration, two-phase cooling, facility cooling, heat rejection, acoustics, or waste-heat recovery.
- Experience with cooling equipment such as coolant distribution units, chillers, pumps, heat exchangers, cooling towers, or dry coolers.
- Experience with computational fluid dynamics or fluid-network modeling tools, such as Cadence Reality DC Build, Ansys, Siemens Simcenter STAR-CCM+, Flownex, or comparable software.
- Ability to translate engineering analysis into practical builds, test plans, technical requirements, and implementation recommendations.
- Clear communication skills and experience working with suppliers, research partners, and multi-functional engineering teams.
Ways to Stand Out from the Crowd:
- PhD or equivalent experience in Mechanical Engineering, Thermal Sciences, Refrigeration, Energy Systems, or a closely related area.
- Experience with hyperscale data centers, high-performance computing systems, or other high-density computing environments.
- Experience with pumped two-phase refrigeration, flow boiling, advanced liquid cooling, or low-global-warming-potential refrigerants.
- Experience addressing water use, facility noise, waste-heat recovery, or other community concerns related to data center infrastructure.
- Contributions to standards, patents, technical publications, or industry research communities.
NVIDIA is widely considered one of the technology world’s most desirable employers. We encourage collaborative engineers who enjoy solving complex problems, learning across fields, and developing more balanced computing infrastructure.
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 5, and 216,000 USD - 345,000 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 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 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.