Senior Data Science Engineer Jobs at NVIDIA with Visa Sponsorship
Senior Data Science Engineer jobs at NVIDIA span GPU-accelerated computing, AI infrastructure, and enterprise analytics. The company has a well-established sponsorship process for this function, supporting candidates through H-1B visa, E-3 visa, and permanent residence pathways from offer through filing.
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INTRODUCTION
Within NVIDIA, our Financial Services Engineering (FSE) group’s mission is to architect the financial infrastructure powering NVIDIA Cloud Services, including GeForce Now, by owning the end-to-end monetization pipeline. We orchestrate seamless global payment capture and transform complex service usage into precise financial obligations, leveraging tax engines, financial ledgers, and compliant invoicing to ensure every customer transaction is accurate and frictionless across the globe.
We are looking for a Senior Data Engineer to join our Financial Systems Engineering team. This role involves building the foundational systems that support NVIDIA's high-performance financial infrastructure. This individual will play an important role in building scalable cloud services that integrate with diverse financial systems, enabling operational automation across global financial operations.
What You'll Be Doing:
- Pipeline Architecture & Integrity: Architect event-driven pipelines (Kafka) and develop new data models that ensure transactional integrity (ACID) for commercial events like invoices, payments, and adjustments.
- Scalable Data Solutions: Automate scalable ETL processes and refactor next-generation data architectures to improve quality, security, and coverage for rapidly growing business demands.
- Operational Excellence: Collaborate across teams to codify business processes into self-measuring systems, debugging complex challenges to ensure the reliability of financial operations.
What We Need To See:
- Bachelor’s degree (or equivalent experience); Master’s preferred.
- 10+ years of industry experience delivering scalable financial services.
- Core Technical Skills: Expertise in building scalable REST APIs backed by PostgreSQL and proficiency in Python, Golang, Scala, or NodeJS. Hands-on experience architecting robust ETL/ELT pipelines using Databricks and dbt to manage large-scale Delta Lake or Apache Iceberg tables.
- Infrastructure & Systems: Deep understanding of high-scale distributed systems, Linux, and cloud infrastructure (AWS/GCP/Azure) using container technologies like Docker and Kubernetes.
Ways to Stand Out from the Crowd:
- Advanced Data Modeling: Experience developing data ontology or semantic data layers that map disparate raw data into interconnected objects with defined properties and functions.
- Financial Domain Scale: A track record of managing Financial/ERP data at internet scale, ensuring transactional integrity and zero data loss.
- Modern Operations: An "Infrastructure as Code" mindset with specific experience building self-healing systems in distributed environments.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, 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 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 25, 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 Senior Data Science Engineer Jobs at NVIDIA
Align your portfolio with GPU-accelerated workloads
NVIDIA evaluates Senior Data Science Engineers on experience with large-scale model training, CUDA-based pipelines, or enterprise AI deployments. Framing your portfolio around those specific workloads before you apply signals genuine fit, not just transferable skills.
Target roles tied to NVIDIA's enterprise consulting arm
NVIDIA's Consulting and Professional Services roles often sit closer to client-facing AI delivery than pure research. Identifying job postings that mention solution architecture or customer engagements helps you find the teams most likely to be actively hiring and sponsoring.
Confirm E-3 eligibility before your interview stage
If you're an Australian citizen, the E-3 visa moves faster than H-1B and skips the lottery entirely. Having your credential documentation ready before you receive an offer lets NVIDIA's HR team move straight to Labor Condition Application filing with the DOL.
Prepare for NVIDIA's technical screen depth
Senior-level data science interviews at NVIDIA typically include system design components alongside ML fundamentals. Preparing concrete examples of production-scale systems you've shipped, not just model experiments, is what clears the bar at this level.
Use Migrate Mate to filter open roles by sponsorship type
Not every NVIDIA posting surfaces easily across general job boards. Browse Senior Data Science Engineer openings at NVIDIA filtered by visa type on Migrate Mate so you're only spending time on roles actively open to sponsored candidates.
Understand PERM timing if you're targeting a Green Card
NVIDIA files EB-2 and EB-3 sponsorship for senior technical roles, but PERM labor certification typically takes 12 to 18 months before your I-140 petition can be filed. Raising the green card pathway early in negotiation gives both sides realistic timeline expectations.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Senior Data Science Engineers?
Yes, NVIDIA sponsors H-1B visas for Senior Data Science Engineers. Because H-1B is subject to an annual lottery, NVIDIA's legal team typically begins preparing registrations in February for an April selection. If you're selected, your petition is filed with USCIS before the October 1 start date. Candidates already holding H-1B status with another employer can transfer without waiting for the next lottery cycle.
Which visa types does NVIDIA commonly use for Senior Data Science Engineer roles?
NVIDIA sponsors H-1B, E-3, and permanent residence categories including EB-2 and EB-3 for Senior Data Science Engineers. Australian citizens are often routed to the E-3 pathway since it has no lottery and allows two-year renewable status. Candidates with exceptional research records may explore O-1A eligibility, though that pathway requires separate evaluation by USCIS.
What qualifications does NVIDIA expect for a sponsored Senior Data Science Engineer?
NVIDIA's Senior Data Science Engineer roles typically require a Master's or PhD in a quantitative field such as computer science, statistics, or electrical engineering, along with hands-on experience building and deploying production ML systems. Familiarity with GPU computing frameworks and large-scale data infrastructure is commonly listed. H-1B specialty occupation requirements under USCIS guidelines mean your degree field must directly align with the role.
How do I apply for Senior Data Science Engineer jobs at NVIDIA?
You can find open Senior Data Science Engineer positions at NVIDIA on Migrate Mate, which filters roles by visa sponsorship type so you can confirm eligibility before applying. From there, applications go through NVIDIA's careers portal. The interview process typically includes a recruiter screen, technical assessments covering ML system design and coding, and a final round with the hiring team.
How do I plan my timeline when applying for a sponsored role at NVIDIA?
Timeline depends on your current visa status. H-1B transfers from an existing petition can start quickly, while new H-1B cap filings follow USCIS's annual April lottery and October start window. E-3 applicants can schedule a consular appointment in Australia within weeks of receiving a certified Labor Condition Application from the DOL. For green card sponsorship, factor in 12 to 18 months for PERM before USCIS petition filing begins.