Jobs / United States / Nvidia Corporation
Senior Solutions Architect, AI Infrastructure Build Readiness - Execution
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 roles62 certified filings for “Solutions Architect” (Sales Engineers) in CA: $139k–$199k, median $169k. Most were filed at wage level IV (51%) — 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.
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
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a Senior Solutions Architect to drive technical engagement with OEM and deployment partners across the AI Infrastructure Build Readiness - Execution team. In this role, you'll connect real-world customer workloads to NVIDIA's hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We're looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you're excited about applied technology and enabling others to succeed with advanced platforms, we'd love to hear from you. What you'll be doing: • Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA's technology stack to achieve measurable outcomes. • Co-design advanced, scalable architectures with OEM and deployment partners, defining technical direction, integration milestones, and deployment plans. • Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer and partner success. • Identify gaps between OEM and deployment partner needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities. • Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs. • Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems. • Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions. • Lead AI Factory build execution engagements with OEM and deployment partners, driving technical readiness, deployment validation, and issue resolution across NVIDIA AI infrastructure build-outs. What we need to see: • Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. • 8+ years of professional experience spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management — with 3-5+ years of direct, hands-on experience in AI infrastructure, data center deployment, or large-scale AI/HPC systems. • Deep technical expertise in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large-scale GPU systems, with a track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries. • Demonstrated ability to communicate complex technical ideas clearly to both technical and non-technical audiences, from engineers to C-level executives. • Strong problem-solving skills, intellectual curiosity, and a commitment to helping customers succeed. • A track record of balancing empathy for OEM and deployment partner needs with the ability to drive complex product decisions through trusted relationships. • Experience working with OEM, ODM, sy