AI Product Engineer Jobs at NVIDIA with Visa Sponsorship

AI Product Engineer roles at NVIDIA sit at the intersection of applied research and product development, requiring deep technical fluency in AI systems and the ability to ship at scale. NVIDIA has a consistent track record of sponsoring work visas for engineers in this function, including H-1B and E-3 pathways.

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Overview

Open Jobs40+
Top Visa TypeGreen Card
Work Type80% On-site
Median Salary$220K
Top LocationSanta Clara, CA
Most JobsNVIDIA

Showing 5 of 40+ AI Product Engineer Jobs at NVIDIA jobs

Nvidia
Senior Software Engineer, AI Web Products
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Nvidia
Added 3w ago
Senior Software Engineer, AI Web Products
Nvidia
Santa Clara, California
Software Engineering
AI (Artificial Intelligence)
Backend Engineering
Full-stack Engineering
$184,000 - $287,500/yr
Remote (US)
Associate's

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Nvidia
Product Manager, AI Partner Solutions and OEM Ecosystem
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Nvidia
Added 3w ago
Product Manager, AI Partner Solutions and OEM Ecosystem
Nvidia
Austin, Texas
Product Management
Partnerships & Business Development
Solutions Engineering & Architecture
$168,000 - $258,750/yr
On-Site
Associate's

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NVIDIA
Senior AI and ML HPC Cluster Engineer
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NVIDIA
New 4h ago
Senior AI and ML HPC Cluster Engineer
NVIDIA
Austin, Texas
Software Engineering
Cloud & DevOps
Data Science & Analytics
Technical Product & Program Management
AI (Artificial Intelligence)
ML (Machine Learning)
$152,000/yr - $287,500/yr
On-Site
5+ yrs exp.
Bachelor's
10,000+

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NVIDIA
Senior AI-Native Systems Software Engineer
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NVIDIA
Added 1d ago
Senior AI-Native Systems Software Engineer
NVIDIA
Santa Clara, California
Software Engineering
Data Science & Analytics
Technical Product & Program Management
AI (Artificial Intelligence)
Technical Program Management
Backend Engineering
$152,000/yr - $287,500/yr
Hybrid
4+ yrs exp.
Bachelor's
10,000+

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NVIDIA
Senior Software Engineer
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NVIDIA
Added 1d ago
Senior Software Engineer
NVIDIA
Santa Clara, California
Software Engineering
Data Engineering
Technical Product & Program Management
AI (Artificial Intelligence)
Backend Engineering
$168,000/yr - $270,250/yr
On-Site
8+ yrs exp.
Bachelor's
10,000+

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Tips for Finding AI Product Engineer Jobs at NVIDIA Jobs

Frame Your Portfolio Around Deployed AI Systems

NVIDIA evaluates AI Product Engineers on shipped work, not research abstracts. Prepare a portfolio showing production-level AI systems you've built, with clear ownership over architecture decisions, model integration, and performance outcomes at scale.

Target NVIDIA's Platform and Developer Products Teams

NVIDIA's AI Product Engineer openings cluster around platforms like CUDA, TensorRT, and NIM. Aligning your application to these product lines signals product-domain fit, which hiring managers weigh heavily against general AI experience.

Verify E-3 Eligibility Before Accepting an Offer

If you're an Australian citizen, NVIDIA sponsors E-3 visas for this function. Confirm that your role will be classified as a specialty occupation before signing anything. Your degree field must directly align with the AI Product Engineer job description to satisfy DOL requirements.

Clarify Sponsorship Scope During Offer Negotiation

Ask NVIDIA's recruiter explicitly whether the offer includes both H-1B filing and Green Card sponsorship through EB-2 or EB-3 PERM. Large employers sometimes separate these commitments, and getting clarity upfront prevents delays after you've started.

Use Migrate Mate to Find Verified AI Product Engineer Openings at NVIDIA

Not every NVIDIA job listing signals genuine sponsorship availability. Use Migrate Mate to browse AI Product Engineer roles at NVIDIA that are verified for visa sponsorship, so you're applying where the pathway is confirmed rather than inferred.

Time H-1B Applications Around NVIDIA's Hiring Cycles

NVIDIA ramps AI Product Engineer hiring in Q4 and Q1. If you're on OPT, coordinate your offer timing so USCIS receives your H-1B petition before the April 1 cap-subject filing window. Missing it means waiting 12 months for the next lottery cycle.

AI Product Engineer at NVIDIA jobs are hiring across the US. Find yours.

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Frequently Asked Questions

Does NVIDIA sponsor H-1B visas for AI Product Engineers?

Yes, NVIDIA sponsors H-1B visas for AI Product Engineer roles. NVIDIA has sponsored H-1B petitions for engineers in this function across multiple fiscal years, making it one of the more accessible paths for international candidates. Your role must qualify as a specialty occupation under USCIS standards, which for AI Product Engineers typically requires a bachelor's degree or higher in computer science, electrical engineering, or a closely related technical field.

How do I apply for AI Product Engineer jobs at NVIDIA?

Apply directly through NVIDIA's careers site or use Migrate Mate to browse verified AI Product Engineer openings with confirmed visa sponsorship. Tailor your resume to reflect production AI system experience, particularly with NVIDIA's product ecosystem. Expect a technical screen, a system design round focused on AI infrastructure, and a product-sense interview. Indicating visa sponsorship needs early in the recruiter screen avoids mismatched expectations later in the process.

Which visa types does NVIDIA commonly use for AI Product Engineers?

NVIDIA sponsors H-1B visas for most international AI Product Engineers and E-3 visas specifically for Australian citizens. For longer-term permanent residency, NVIDIA also sponsors EB-2 and EB-3 Green Cards through the PERM labor certification process. The right pathway depends on your nationality, degree field, and where you are in your career. Australian applicants should evaluate the E-3 first given its simpler process and no lottery requirement.

What qualifications does NVIDIA expect for AI Product Engineer roles?

NVIDIA's AI Product Engineer roles typically require a bachelor's or master's degree in computer science, machine learning, or a related engineering discipline, along with hands-on experience building and deploying AI models in production environments. Familiarity with NVIDIA's software stack, including CUDA, TensorRT, or Triton, is a strong differentiator. Candidates who can bridge the gap between model research and scalable product integration are prioritized over those with purely academic AI backgrounds.

How do I plan my visa timeline when joining NVIDIA as an AI Product Engineer?

If you're transitioning from OPT, your start date needs to align with USCIS H-1B cap filing, which opens April 1 for an October 1 start. NVIDIA's legal team handles the I-129 filing, but you're responsible for coordinating your OPT expiration and STEM OPT extension if needed. E-3 applicants have more flexibility since there's no lottery, but still need a certified Labor Condition Application from DOL before attending a consular interview.

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