Jobs / United States / Nvidia Corporation
Senior Software Engineer, Infrastructure and Tooling - DriveOS
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
NVIDIA is harnessing the power of AI and high-performance computing to build the future of mobility. DriveOS is the software platform behind autonomous vehicles and other intelligent machines, combining system software, virtualization, and accelerated computing capabilities for safety-critical applications. Our Infrastructure and Tooling team makes the engineering environment behind that platform coherent, practical, and scalable — and we’re looking for a Senior Software Engineer to help shape it. This role combines software engineering and AI-enabled automation with first-principles thinking: building tools that help teams deliver reliable software and evidence that is fit for product risk. You will help a globally distributed organization turn quality, safety, and cybersecurity expectations into integrated engineering workflows — embedding intelligent agents, automated reasoning, and data-driven insights where they improve development efficiency and product quality. What you’ll be doing: • Design and implement highly available automation systems, developer tooling, and intelligent dashboards that improve and monitor the quality of DriveOS builds and releases. • Partner with teams across the organization to shape infrastructure roadmaps and consolidate tooling initiatives. • Architect AI-native pipelines that integrate LLM-based agents, RAG systems, and multi-agent orchestration into core engineering workflows — automating tasks such as requirements analysis, test generation, defect triage, and safety documentation. • Translate multi-functional collaborator requirements into process-automation solutions that operate in environments aligned with automotive standards (ISO 26262, ISO 21434) and quality models (ISO 25010). • Build integrated data pipelines that aggregate telemetry from global systems and surface executive-level insights through advanced visualization and predictive quality metrics. • Evaluate and operationalize emerging AI capabilities — including code-generation copilots, agentic coding assistants, and automated documentation tools. • Help define and deploy governance policies for AI-assisted tooling outputs, ensuring traceability, auditability, and compliance when AI-generated artifacts feed into safety-certified processes. • Raise the standard for tooling quality and architectural guidelines. Coach and support engineers at all levels, fostering a culture of technical growth. What we need to see: • BS or MS in Computer Science, or equivalent experience, with 8+ years in infrastructure, DevOps, or software tooling. • Strong proficiency in Python and a solid understanding of tooling architecture and design patterns. • Experience managing enterprise-scale CI/CD environments (GitLab CI, Jenkins, or similar) and infrastructure-as-code tools (Terraform, Ansible). • Experience building production-grade, full-stack systems — backend microservices (Python, Node.js, Go), RESTful and GraphQL APIs, relational and NoSQL datastores, graph databases (e.g., Neo4j), and modern web interfaces (React, Next.js, or TypeScript). • Hands-on experience deploying LLM and agentic applications, including agent frameworks, tool integration, MCP-based systems, memory and orchestration, prompt engineering, guardrails, evaluation, and RAG/GraphRAG architectures. • Experience building internal developer portals and AI-powered interfaces, including chat-based or conversational UIs for agent interaction. • Strong SQL and data-warehousing skills for managing high-volume metrics across multiple programs. • Clear communication and collaborative problem-solving skills. Ways to stand out from the crowd: • Experience developing and deploying tools across distributed organizations. • Prior experience in automotive, aerospace, or medi