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.
Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 296,000 USD - 448,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 26, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
