Senior Network Solution Architect – AI Fabrics

🔥 15 hours ago

🏄 California, Colorado, +2 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Partner with AI-native / consumer internet customers on large data center GPU and networking deployments • Guide architecture decisions across network, compute, and storage, including fabric design • Support on-site bring-up of server, network, and cluster infrastructure in customer data centers • Demonstrate expertise on advanced GPU and network systems (Spectrum-X, BlueField DPU, InfiniBand/RoCE, etc.) for key accounts • Run regular technical account reviews covering roadmap alignment, cluster issues, feature discussions, and new technology introductions • Capture customer-specific requirements and translate them into concrete feedback for product, architecture, and engineering teams • Analyze and debug configuration and performance issues in RoCE and InfiniBand environments • Work across NICs, switches, Linux, and system software to deliver performant, reliable AI clusters • Identify and shape new project opportunities for NVIDIA GPUs, networking, and software in AI and data center use cases • Collaborate closely with Systems Engineering, Product Management, and Sales to align solutions with customer outcomes • Build targeted POCs that showcase the value of NVIDIA’s networking stack (e.g., Spectrum-X fabrics, BlueField DPUs) in real customer environments

🎯 Requirements

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, or other Engineering fields or equivalent experience • 6+ years of hands-on network engineering experience in data center or cloud environments • Proven, expert-level troubleshooting of data center networks (packet-level, control plane, and fabric behavior) • Deep protocol knowledge of BGP, OSPF, and L2/L3 switching in large-scale data center or cloud networks (ECMP, Clos/leaf–spine) • Experience with high-density switching at cloud or hyperscale is strongly preferred • Experience with InfiniBand or RoCE is a major plus • Solid understanding of CPU/GPU server architecture, NICs, Linux, system software, and kernel drivers • Strong time management and ability to context-switch across multiple customers and projects • Excellent written and verbal communication, including clear design docs, customer presentations, and root-cause summaries • Advanced certifications: CCIE, JNCIE, or equivalent expert-level certifications. • Automation & tooling: Experience in Python, Bash, or C/C++ for automating network workflows, validation, and debug • NVIDIA platform experience: Hands-on work with NVIDIA GPUs, NICs, DPUs, or ARM-based CPU platforms • Customer-facing background: Pre-sales, post-sales, field engineering, or consulting experience with external enterprise or cloud customers • Large-scale deployments: Direct experience bringing up and operating large clusters or supercomputing environments • Virtualization / cloud: Familiarity with virtualization, containers, and cloud networking concepts

🏖️ Benefits

• equity • benefits