Senior Solutions Architect, Networking, GPU

🔥 1 minute ago

🇨🇳 China – Remote

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 11%

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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

• Work closely with account managers to understand customer requirements, position SONiC + Spectrum whitebox switch solutions, and shape technical win strategies for AI and HPC opportunities • Design end-to-end architectures for customer proposals, including GPU server configurations, storage connectivity, and SONiC-based leaf-spine fabrics with RDMA/RoCE • Build and validate hands-on demos and POCs by deploying SONiC switches and GPU servers, configuring networking, installing software stacks, and running benchmarks • Prove performance, scalability, and reliability through technical evaluations • Provide support for large-scale production SONiC switch clusters • Own and manage customized SONiC software projects on Spectrum white-box switches • Collaborate with internal engineering, product, and OEM partners to resolve complex issues in firmware, drivers, OS, routing, and GPU/network performance • Bring fixes back to active POCs • Partner with account and OEM partner teams to qualify opportunities, design solutions, run technical evaluations, and prove value to customers building large-scale AI and HPC platforms • Support production clusters, including monitoring and troubleshooting

🎯 Requirements

• BS/BA in Computer Science, Electrical/Computer Engineering, or equivalent practical experience • 6+ years in data center or cloud infrastructure roles (solutions architect, systems engineer, network engineer) with direct exposure to presales or customer-facing technical work • Solid background in data center networking for AI workloads: leaf-spine designs, high-bandwidth/low-latency fabrics, RDMA/RoCE, and ideally InfiniBand • Comfortable configuring and debugging networking in lab and customer environments • Practical knowledge of SONiC: installing and upgrading, configuring interfaces and routing (BGP/EVPN/VXLAN), using monitoring/telemetry tools, and troubleshooting real incidents • Strong, practical understanding of GPU server architecture: CPU/GPU balance, memory bandwidth, PCIe/NVLink topology, storage and NIC placement, and power/cooling at rack level • Hands-on experience designing, deploying, or operating AI/HPC clusters using GPU-accelerated servers (on-prem or cloud), including real involvement in sizing, configuration, and performance tuning • Excellent communication and presentation skills • Able to explain complex technical topics to highly technical engineers and non-technical decision makers • Able to write clear design documents and POC reports • Fluent written and spoken English is required

🏖️ Benefits

• Competitive salaries • Generous benefits package

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