Jobs / United States / Nvidia Corporation
NVIDIA 2027 Summer Internships: Ph.D. Engineering
Nvidia Corporation · 🇺🇸 US, CA, Santa Clara
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. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- 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. 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 roles113 certified filings for “Manager Systems Software” (Architectural and Engineering Managers) in CA: $214k–$248k, median $222k. Most were filed at wage level II (40%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
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.
Or apply yourself on the official page →
Sponsor Radar — Nvidia Corporation
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. USCIS also records 394 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Nvidia Corporation →
About the role
By submitting your resume, you acknowledge that your Ph.D. Engineering internship application will be processed in accordance with NVIDIA’s Applicant Privacy Policy and you agree to our Terms of Service . We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create. Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Computer Architecture and Systems teams. We’re seeking strategic, ambitious, hard-working, collaborative, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Learn more about Research at NVIDIA . What you will be doing: • Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems that advance computing, graphics, media processing, and related technologies central to NVIDIA's business. • Collaborate with other team members, teams, and/or external researchers. • Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research. What we need to see: • Must be actively enrolled in a university pursuing a Ph.D. degree in Computer Science, Electrical Engineering, or a related field, for the full duration of the internship; anticipated graduation date ( month and year ) must be clearly indicated on a resume or CV to be considered. • Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, Python, CUDA • Strong background in research with publications at top conferences. • Excellent communication and collaboration skills. Potential internships require research experience in at least one of the following areas: • Chip-level and System-level Architecture GPU and Multi-GPU Architecture Scalable memory systems and new memory technologies Scalable on-chip and off-chip interconnects Chip-level and system-level scheduling Power, performance, and energy-efficiency in large-scale systems Specialized accelerators for workloads like AI algorithms, crypto algorithms, databases, etc. Hardware-software co-design • Systems for AI/ML Systems Infrastructure for large LLM training and inference Systems/AI algorithms codesign (e.g., for sparsity) \ AI/ML for systems (hardware design, code optimization, etc.) ML for EDA • Programming Systems GPU-accelerated algorithms Languages and programming models for parallel computing Optimizing compilers and AI-based performance assistants Distributed runtime systems Systems software and operating system interfaces Optimizing GPU-accelerated workloads Compilers and code verification • High-Performance Networking and Interconnects Large-scale GPU networking Topologies, routing, and congestion control Networking techniques at the intersection of scale-out and scale-up • VLSI and Electronic Design Automation (EDA) GPU Accelerated EDA Click here to learn more about NVIDIA, our early talent programs, benefits offered to students and other helpful student resources related to our latest technologies and endeavors. Our internship hourly rates are a standard pay based on the po