Jobs / United States / Nvidia Corporation
Senior Software Engineer - Tools and Production Pipelines
Nvidia Corporation · 🇺🇸 3 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 roles701 certified filings for “Engineer Senior Systems Software” (Software Developers) in CA: $173k–$214k, median $190k. Most were filed at wage level IV (82%) — 4 lottery entries, ≈61% 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.
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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
We are looking for a Senior Software Engineer to design and build tools, pipelines, and AI-enabled systems for complex creative production workflows. You will connect AI models with DCC applications, APIs, internal services, and production infrastructure to support artists, technical artists, designers, and engineers. A central part of the role is building reliable, multi-step agentic workflows that coordinate tools, maintain state, operate within defined permissions, and recover from failures. You will also develop artist-facing applications and content pipeline services, combining hands-on engineering with technical leadership to deliver maintainable, production-quality systems. What you’ll be doing: • Own systems from workflow discovery and architecture through implementation, rollout, maintenance, and production support. • Build agentic workflows that coordinate models, tools, APIs, and services, including context and state management, retries, partial failure handling, and human review. • Develop AI-enabled engineering tools for coding, testing, debugging, codebase analysis, code review, and validation. • Create DCC integrations, plugins, panels, desktop applications, and pipeline services that address artist and technical artist workflows. • Build and evolve content pipelines covering authoring, validation, publishing, versioning, asset management, and delivery to rendering or real-time systems. • Define APIs and data contracts, and manage dependencies, packaging, compatibility, and releases across production environments. • Establish automated testing, agent evaluations, tracing, monitoring, and performance measurements, alongside access controls, approval points, and recovery mechanisms. • Work directly with users to identify problems and prioritize improvements; document systems, support adoption, mentor engineers, and lead technical reviews. What we need to see: • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience. • 8+ years of relevant software engineering experience building and supporting production tools, content pipelines, or comparable workflow systems. • 2+ years of technical leadership experience, including leading projects, guiding architectural decisions, mentoring engineers, and coordinating delivery. • Strong Python skills and sound judgment in software architecture, API design, testing, debugging, and maintainable code. • Experience integrating with DCC applications and supporting content workflows from authoring through validation, publishing, and downstream delivery. • Experience building multi-step AI workflows that invoke tools or APIs and interact with existing software systems, including state management, validation, failure handling, and evaluation. • Ability to develop usable tools for artists or other specialist users and translate workflow needs into practical engineering requirements. • Experience with version control, code review, automated testing, and release practices appropriate to production-critical software. • Ability to diagnose issues across application, service, and data boundaries, communicate technical tradeoffs, and collaborate across engineering and creative teams. Ways to stand out from the crowd: • Background with Houdini, Maya, Blender, or Nuke extension APIs and artist-facing interfaces built with PySide/Qt or similar frameworks. • Experience with USD/OpenUSD, asset publishing, production tracking, asset management, and Perforce-based content workflows. • Proficiency in C++ or Java, or experience with Unreal Engine, Unity, proprietary engines, graphics, rendering, or shader development. • Experience with LLM APIs, tool calling, structured outputs, retrieval and context systems, a