Network Solutions Architect - NVIDIA AI Cloud Partners

ppNVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us. If you're creative, hard‑working, and self‑motivated, we want to hear from you! /ppWe are looking for a bNetwork Solutions Architect /b to join the NVIDIA team focused on supporting NVIDIA AI Cloud Partners as they build the next‑generation GPU infrastructure for their customers. /ph3What you’ll be doing /h3ulliDefine reference architectures – blueprint for end‑to‑end solutions integrating GPU and networking into a data‑center solution. /liliSupport account teams in identifying new business opportunities for NVIDIA Networking products and technology solutions in cloud, telco, enterprises, artificial intelligence, and large‑language‑model (LLM) applications, working closely with Sales teams and Product Marketing to make our customers' dreams a reality. /liliTechnical account management for NVIDIA Networking product key accounts. /liliConduct regular customer meetings for product updates and introductions to new technology solutions and deliver product roadmap presentations to customers and technology partners. /liliBuild and deliver custom‑tailored product demonstrations and proof‑of‑concepts (POCs) for solutions that address critical business needs for our customers. /liliTechnical project management of complex networking deployments and design‑in opportunities. /liliAnalyze and troubleshoot performance issues with new technology at the customer site and prepare and deliver technical training presentations. /liliProvide constructive feedback to engineering regarding product requirements and evolution, including submitting requests for enhancements supported with business evidence. /li /ulh3What we need to see /h3ulli5+ years of solution architect (or similar sales‑engineering) experience. /liliBachelor’s degree or equivalent experience in computer science, electrical engineering, computer engineering, datacenter engineering, networking, or cloud application knowledge. /liliDeep networking experience, including network topologies, solid knowledge of L2/L3 Ethernet or other networking protocols. /liliUnderstanding of system‑level issues, including operating systems, Linux kernel drivers, PCIe devices, NICs, and hardware architecture. /liliTechnical presentation skills and confidence in developing proof‑of‑concepts. /liliStrong sense of achievement and customer‑focused attitude. /liliEffective time management and capable of balancing multiple demands with competing deadlines. /liliTravel required as needed (approximately 30% of the working hours). /li /ulh3Ways to stand out from the crowd /h3ulliLow‑latency / high‑bandwidth interconnects such as InfiniBand / Ethernet AI. /liliAbility to handle and resolve critical customer issues/problems resulting in a high level of customer satisfaction. /liliPractical experience with K8s and Linux virtualization technologies (KVM). /liliExperience with GPU‑accelerated systems administration and software and distributed/parallel computing. /liliPractical DevOps and/or agentic AI experience. /li /ulpNVIDIA is committed to fostering a diverse work environment and proud to be an equal‑opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. /ppNVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. /ppLearn more about NVIDIA. /p /p #J-18808-Ljbffr