Jobs / United States / Nvidia Corporation
Director, Host Networking for Hyperscalers Segment Sales
Nvidia Corporation · 🇺🇸 US, CA, Santa Clara
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).
- 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
We are now looking for a dynamic business leader to grow NVIDIA's Host Networking business for AI infrastructure with AI Labs and Hyperscalers! This leader will drive strategic direction, customer engagement, and multi-year growth for networking products such as NVIDIA DPUs, SuperNICs, and their associated software and ecosystem. Success in this role will be measured by the level of adoption and integration of our Host Networking products with our end customers' workflows and workloads. Success is contingent upon building trust with executives, architects, product leaders, and platform teams across NVIDIA and our largest customers. This leader will lead the go-to-market motion, connecting customer AI factory needs to NVIDIA's networking portfolio and aligning product, sales, engineering, architecture, marketing, and partner teams to secure design wins and scale deployments. What you'll be doing: • Identify, develop and close strategic design wins for DPU and SuperNIC with top AI labs and Cloud Service Providers! • Build and implement the segment sales growth strategy for host networking across hyperscaler and frontier model AI labs building large scale AI infrastructure. • Define customer-specific DPU and SuperNIC value propositions and deployment motions, and lead a matrixed team across product, architects, engineering, sales and marketing teams. • Promote NVIDIA host networking products externally and internally, positioning their value for AI workloads and other infrastructure products from NVIDIA, in a collection of use-cases in Networking, Security and Storage. • Build a robust opportunity pipeline with segment sales and account teams, including account mapping, customer requirements, proof points, executive engagement, and partner alignment. • Track and drive quarterly business reporting, forecast accuracy, design-win progress, roadmap asks, and market insights What we need to see: • A technical university degree (or equivalent experience). • 15+ overall years of experience driving business development, Product or go-to-market strategy for data center networking, cloud infrastructure, accelerated computing, semiconductor, or infrastructure software products. • 10 years of management experience • Experience closing strategic networking, silicon, platform, or infrastructure design wins with hyperscalers, cloud service providers, or leading internet-scale customers. • Track record of launching and growing new product offerings for hyperscalers AI infrastructure, directly with customers and through partner or ecosystem motions. • Strong working knowledge of DPU, SmartNIC, SuperNIC, NIC, server networking, RDMA over Ethernet, virtualization, cloud security and storage offload, and AI data center architectures. • Can present complex marketing and technical content to executives at NVIDIA, our partners, and hyperscaler customers succinctly. Ways to stand out from the crowd: • Product and business development leadership experience in areas of DPU, SmartNIC, SuperNIC with leading data center networking, cloud infrastructure, semiconductor, or systems suppliers. • Intimate understanding of hyperscalers AI factory architectures, host networking requirements, server attach models, product qualification, and operational tradeoffs. • Familiarity with NVIDIA networking products and software for AI infrastructure, including DPUs, SuperNICs, Ethernet networking, and large-scale AI clusters. • Foundation knowledge of high-performance networking technologies, Ethernet, RoCE/RDMA, GPU accelerated computing, generative AI, LLM training and inference, Network SerDes, in-network compute, PCIe, and CXL. • Technical knowledge of hyperscalers procurement, qualification, deployment, and lifecycle models. At NVIDIA, you will work