Senior Network Solutions Architect for AI/Data Center

Supermicro; Wayne (CA); On-site; USD 195,000 - 225,000; Full time

Job summary

Supermicro is seeking a Staff Solution Architect - Network to define scalable, resilient, secure, and AI-ready network architectures across data centers, campuses, global interconnectivity, and hybrid cloud environments.

You will own network solution architecture, HLD/LLD, reference designs, standards, and technical direction for traditional enterprise networks and high‑density GPU/AI infrastructure, from kilowatt to megawatt scale, ensuring performance, security, and observability.

Qualifications

• Bachelor's degree in Computer Science, Electrical/Computer Engineering, Information Technology, or equivalent professional experience.
• 12+ years of network architecture or engineering experience with strong data center and enterprise network design expertise.
• Deep knowledge of BGP, EVPN, VXLAN, ECMP, spine-leaf architecture, routing/switching, segmentation, high availability, and data center interconnectivity.
• Strong experience with firewalls, VPN, WAN, MPLS/SD-WAN, DIA, campus wired/wireless, fiber, and hybrid-cloud connectivity.
• Experience with AI/HPC/GPU networking, high-speed Ethernet and/or InfiniBand, and network capacity/fabric calculations is strongly preferred.
• Proven ability to produce HLDs, LLDs, reference architectures, standards, and clear technical documentation.

Responsibilities

• Own network solution architecture and technical design for data center, AI/GPU infrastructure, campus, global WAN, hybrid cloud, and interconnectivity environments.
• Develop HLDs, LLDs, reference architectures, topology diagrams, routing/IP designs, implementation standards, and technical decision documentation.
• Architect data center spine-leaf fabrics using BGP, EVPN, VXLAN, ECMP, segmentation, high availability, and high-speed 100G/400G/800G connectivity as applicable.
• Design AI/GPU network fabrics from kW to MW scale by translating rack/GPU counts, bandwidth, port density, oversubscription, redundancy, and growth requirements into scalable network designs.
• Define East-West and North-South traffic architectures supporting GPU/compute, storage, applications, management, Internet edge, and external connectivity.
• Design rack networking, ToR/leaf connectivity, OOB management, fiber/cabling, uplinks, redundancy, and integration with GPU/compute systems.
• Architect data center interconnectivity, DR, global WAN, and hybrid-cloud solutions across data centers, colocation sites, campuses, and cloud using MPLS, SD-WAN, DIA, VPN, and carrier services.
• Define network security architecture including firewall zones, segmentation, secure Internet edge, VPN/remote access, access controls, and resilient firewall designs.
• Develop campus architectures covering core/distribution/access, wired and wireless networks, IDF/MDF, fiber backbone, Internet connectivity, segmentation, and high availability.
• Define network observability, NOC operational requirements, SLA/KPI measurements, DR/failover requirements, and controls supporting SOX and related audit processes.
• Perform architecture gap assessments for capacity, resiliency, performance, security, and technology lifecycle; develop target-state designs and remediation roadmaps.
• Develop network standards, SOPs, policies, procedures, deployment templates, and architecture documentation; collaborate across engineering, operations, security, cloud, facilities, vendors, and business teams.

Skills

Network architecture

Data center design

BGP

EVPN

VXLAN

ECMP

Firewall

VPN

MPLS/SD-WAN

AI/HPC networking

Documentation

Education

Bachelor's degree in CS/EE or equivalent

Job description

Supermicro is seeking a Staff Solution Architect - Network to define scalable, resilient, secure, and AI-ready network architectures across data centers, campuses, global interconnectivity, and hybrid cloud environments.

You will own network solution architecture, HLD/LLD, reference designs, standards, and technical direction for traditional enterprise networks and high‑density GPU/AI infrastructure, from kilowatt to megawatt scale, ensuring performance, security, and observability.