Jobs / United States / Nvidia Corporation
Senior Software Engineer, AI-Enabled Production Tools
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 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, and recover from failures. You will combine hands-on development with technical leadership to deliver production-quality software, usable artist-facing tools, and maintainable content pipelines. What you’ll be doing: • Own tools and pipeline systems from workflow discovery and architecture through implementation, rollout, maintenance, and production support! • Build agentic workflows that coordinate models, tools, APIs, and services, with context management, state tracking, validation, retries, and failure recovery. • Develop AI-enabled engineering tools for coding, testing, debugging, codebase analysis, code review, and workflow automation. • Create DCC integrations, plugins, panels, desktop applications, and services that address the needs of artists and technical artists. • Build and maintain content pipelines covering authoring, validation, publishing, versioning, asset management, and delivery to rendering or real-time systems. • Design software architecture, APIs, and data contracts that support maintainability, performance, and integration across production systems. • Establish automated testing, agent evaluations, tracing, monitoring, and appropriate access controls to ensure reliable and observable operation. • Manage packaging, dependencies, compatibility, and releases across supported applications and production environments. • Partner with users to prioritize improvements, lead technical reviews, mentor engineers, and document systems to support adoption and ongoing maintenance. What we need to see: • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience! • 8+ years of relevant software engineering experience developing production tools, content pipelines, or comparable workflow systems. • 2+ years of technical leadership experience, including leading engineering projects, guiding architectural decisions, mentoring engineers, and coordinating delivery. • Strong Python skills and experience with software architecture, API design, automated testing, debugging, and maintainable code. • Background with 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, evaluation, and failure handling. • Experience developing usable tools for artists or other specialist users and translating workflow needs into engineering requirements. • Experience with version control, code review, release management, and support for production-critical software. • Ability to diagnose issues across applications, services, and data, communicate technical tradeoffs, and collaborate across engineering and creative teams. Ways to stand out from the crowd: • Experience developing desktop or embedded interfaces with PySide/Qt or similar frameworks. • Proficiency in C++, Java, or other languages used for application integrations and production services. • Experience with asset management, production tracking, Git, Perforce, and content dependency management. • Familiarity with Unreal Engine, Unity, proprietary engines, graphics, rendering systems, or shader development. • Experience with LLM APIs, tool calling, struc