Skills this job asks for
LeadershipTranslationNetworkingProduct managementMachine learningDeep learningPyTorchLLMs
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What Nvidia Corporation paid sponsored hires in similar roles7 certified filings for “Product Manager” (Marketing Managers) in CA: $180k–$217k, median $201k.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 2,374 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Nvidia Corporation paid sponsored hires in similar roles
- 7 certified filings for “Product Manager” (Marketing Managers) in CA: $180k–$217k, median $201k. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
Want to join a fun, creative company that is at the forefront of AI? NVIDIA is developing groundbreaking solutions in some of the world’s most exciting areas including artificial intelligence and high performance computing. Come grow your career to new heights at one of the fastest growing technology companies!
We are looking for a Product Marketing MBA Intern to join the team driving awareness and thought leadership for NVIDIA’s AI infrastructure platform. This role sits in our rapidly growing data center business and is focused on telling the story of our AI infrastructure and inference leadership to a broad audience spanning customers, partners, and analysts. The work is translating genuinely hard technical material into narratives each of those audiences can act on. If you have an engineering or product background, are now sharpening the business lens in an MBA program, and are energized by the pace of AI, this is the role for you.
What you’ll be doing:
• Work with engineering, product, and solution architecture teams to understand the technical capabilities of NVIDIA’s AI infrastructure and inference stack, including accelerated compute, networking, CUDA libraries, model architectures, and deployment techniques
• Research and synthesize developments in inference such as model architectures, serving frameworks, optimization techniques, arXiv and industry papers, and identify where they intersect with NVIDIA’s platform to maximize performance and minimize cost
• Author core content that builds awareness and thought leadership: blog posts, technical explainers, presentations, briefing materials, and narrative frameworks
• Partner with PR, campaigns, analyst relations, and developer marketing teams to carry this content across channels and maximize reach
• Own a defined summer project end to end, from research through to a published or presented deliverable
What we need to see:
• Currently pursuing an MBA degree (December 2027 to summer 2028 graduation date) with a previous Bachelor’s in a technical field such as engineering, computer science, or another STEM discipline
• Prior full-time experience in an engineering, product management, or technical product role
• Working understanding of AI/ML fundamentals, including how models are trained and served, and what makes inference hard at scale
• Excellent written and verbal communication, with ability to translate complex technical concepts for non-specialist audiences
• Ability to work independently with directional feedback, and a bias toward moving quickly
Ways to stand out from the crowd:
• Familiarity with modern data center and accelerated computing concepts, deep learning frameworks (PyTorch, JAX), and inference serving and optimization approaches (TensorRT-LLM, vLLM, SGLang, Triton Inference Server, or similar)
• Published technical writing, blog posts, or conference talks explaining AI systems, infrastructure, or inference
• Experience with hyperscale cloud providers or large-scale AI infrastructure
NVIDIA is widely considered to be one of high technology’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where you can do your life’s best work. If you’re creative, self-motivated, and curious about how AI actually runs, we want to hear from you!
Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The expected hourly rate for this position is 38 USD – 94 USD.
You will also be eligible for Intern benefits .
Applications for this job will be accepted at least until November 6, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVI
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