Jobs / United States / Nvidia Corporation

Nvidia Corporation

Computer Architecture Intern - 2027

2 Locations Posted today

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Skills this job asks for

LeadershipC++Machine learning

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • 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.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • 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.
  • What Nvidia Corporation paid sponsored hires in similar roles628 certified filings for “Engineer Senior ASIC” (Electronics Engineers, Except Computer) in CA: $168k–$216k, median $188k.
  • 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
628 certified filings for “Engineer Senior ASIC” (Electronics Engineers, Except Computer) in CA: $168k–$216k, median $188k. Most were filed at wage level IV (75%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. 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

We are now looking for Computer Architecture Interns in our group! The NVIDIA Architecture group is looking for world class architects and computer science interns to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for parallel processing algorithms. We are constantly looking for ways to improve our GPU architecture and maintain our leadership by developing new parallel programming models, new architectures and new infrastructure that is required to make this successful.   What you'll be doing: • Enhance GPU architecture to extend the state of the art in performance, efficiency, programmability and reliability • Analyze, tune and prototype key applications for new GPU architectures • Build model to predict performance, power and reliability on future architecture • Design and develop tools to analyze, simulate, validate, and verify application performance and energy consumption • Collaborate across the company to guide the direction of GPU computing, working with software, research and product team What we need to see: • MS Degree in relevant discipline (CS, EE, Math).  PhD helpful • Expert programming skills in C or C++ • Strong background in computer architecture, parallel processing, signal processing and/or high performance computing • Experience in characterizing and modeling system-level performance or power, executing comparison studies, and documenting and publishing results  Ways to stand out from the crowd: • Optional/Plus -- Background in computer vision, machine learning, or any HPC domain

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