Principal AI Network Architect

About the role

Architect next-generation scale-up switches, including system architecture, switch topology, ASIC selection, radix planning, electrical and optical interconnect strategies. Define network architectures for AI clusters, racks, pods, and multi-rack scale-up domains. Drive architecture tradeoff analysis across performance, scalability, reliability, power, cost, serviceability, and operational efficiency.

Define scale-up network requirements based on AI training, inference, and emerging workload demands. Lead architecture studies for switch silicon, optics, interconnect technologies, control planes, and AI fabrics. Drive architecture decisions for scale-up and scale-out networks, including topology, oversubscription, resiliency, fault tolerance, and workload placement optimization.

Partner with system, silicon, optics, software, firmware, and operations teams to co-design end-to-end AI infrastructure solutions. Develop performance, capacity, reliability, and TCO models to evaluate architecture alternatives and guide investment decisions. Evaluate emerging networking technologies and influence industry roadmaps across switch silicon, optics, and networking ecosystems.

Provide technical direction and architectural guidance to switch development teams, ODM/JDM partners, and platform engineering organizations.

Master's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 7+ years technical engineering experience OR Bachelor's Degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, or related field AND 8+ years technical engineering experience OR equivalent experience BS / MS in Electrical/Computer Engineering or equivalent industry experience.

10+ years of relevant experience in system (compute, storage, networking, and/or accelerator) level design and/or implementation across the hardware development lifecycle. 10+ years of hands-on experience in server hardware architecture, design, and development with solid understanding of hardware, firmware, and Operating System (OS). Proven experience delivering AI and GPU-based systems to production.

10+ years of experience in networking, distributed systems, AI infrastructure, or large-scale system architecture. Deep understanding of AI scale-up and scale-out networking architectures. Experience architecting high-performance network switches and large-scale switching systems. Knowledge of Ethernet, RDMA/RoCE, SONiC, network operating systems, and control plane architectures.

Experience with switch ASICs, SerDes technologies, retimers, PHYs, and high-speed electrical interconnects. Experience with optical networking technologies including OCI, XPO, CPO, OBO, and optical fabrics. Experience performing architecture tradeoff analysis involving performance, power, cost, reliability, and scalability.

Familiarity with AI workloads, collective communication patterns, distributed training, and inference systems. Proven system-level architecture skills spanning networking, compute, power, thermal, and rack integration. 10+ years of experience in network switch system-level design, spanning all phases of product development — from concept through production release. Proven expertise in network switch architecture and development.

Demonstrated leadership in network switch design reviews, driving cross-functional alignment across hardware, firmware, software, and infrastructure teams.