Jobs / United States / Nvidia Corporation
Software Engineering Intern, Compiler Verification - Spring 2027
Nvidia Corporation · 🇺🇸 2 Locations
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).
- Last confirmed live 2 days agoWhen 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.
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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
At present, NVIDIA is exploring the immense possibilities of AI to define the forthcoming era of computing. Our division develops compiler technologies within the CUDA software stack that support the transformation of high-level parallel programs into efficient performance on NVIDIA GPUs. This internship grants a hands-on experience working closely with compilers, GPU architecture, and parallel programming languages. The role is notable for its mix of systems perspective, software knowledge, and significant exposure to authentic compiler issues across advanced GPU platforms. What you’ll be doing: • Develop programs in PTX, CUDA, C/C++, or low-level GPU languages to validate compiler and evaluate generated code across key features and architectures. • Build software components, libraries, and technical solutions that advance compiler development and open up more innovative ways to explore and exercise compiler behavior. • Collaborate with compiler and hardware engineers on challenging architectural and compiler interactions, helping uncover deeper insights into how advanced GPU software features behave across releases. • Contribute to expansive engineering projects that improve the robustness, scalability, and future-readiness of the CUDA software stack for new GPU platforms. What we need to see: • Pursuing an MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field. • Strong programming skills in Python, C++, or similar languages used for systems or software development. • Solid understanding of data structures, algorithms, and software debugging fundamentals. • Familiarity with compiler concepts, computer architecture, operating systems, or parallel programming. • Ability to read technical details carefully, reason about complex behaviors, and communicate findings clearly in a collaborative engineering environment. Ways to stand out from the crowd: • Exposure to compiler internals, code generation, static analysis, LLVM, or MLIR. • Background in GPU programming, CUDA, PTX, or parallel computing models. • Hands-on project work involving low-level systems, program analysis, or software aimed at optimizing software operation. • Passion for compilers, GPU frameworks, or software tools intended for developer use.