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Senior Solutions Architect, Networking & GPU System

NVIDIA· Architect, Solutions
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Beijing, Shanghaifull-timePosted 2mo ago

About the role

Senior Solutions Architect focused on SONiC-based networking and GPU server infrastructure, partnering with account/OEM teams to qualify opportunities, design end-to-end architectures, run technical evaluations, and support production clusters for large-scale AI/HPC platforms.

Responsibilities

  • 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: deploy SONiC switches and GPU servers, configure networking, install software stacks, and run benchmarks to prove performance, scalability, and reliability.
  • 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, then bring fixes back to active POCs.

Qualifications

  • 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 these 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 both highly technical engineers and non-technical decision makers, and write clear design documents and POC reports. Fluent written and spoken English is required.

Skills

Required:SONiCGPU server architectureLeaf-spine networkingRDMA/RoCEBGP/EVPN/VXLANCustomer-facing communication

Benefits

  • Competitive salaries
  • Generous benefits package
Last updated Aug 21, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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