Principal Ethernet Scale-Out Architect, AI Data Center

Qualcomm is seeking an experienced Hardware Scale-Out Architect to help define the next generation of AI datacenter products. This role is responsible for architecting large-scale Ethernet-based AI/datacenter fabrics that connect servers, accelerators, racks, and multi-rack clusters. The ideal candidate will bring deep expertise across Ethernet, UEC, RoCE/RDMA, NICs/SuperNICs, scale-out switches, scale-up interconnects, and end-to-end system data movement.

The selected candidate will drive system architecture and requirements from the accelerator card and server level through rack and cluster-scale deployments, partnering closely with SoC, software, card, platform, and product teams.

Responsibilities:

• Define next-generation scale-out network architectures for AI and cloud datacenter deployments.
• Develop end-to-end system architecture spanning accelerator cards, servers, racks, and multi-rack clusters.
• Drive architecture and requirements for Ethernet fabrics, NICs/SuperNICs, switch ASICs, transport protocols, in-network collectives, telemetry, security, virtualization, RAS, and reliability features.
• Analyze DMA engines, data flows, packet flows, and system bottlenecks to optimize bandwidth, latency, utilization, and scalability.
• Collaborate with software, SoC design, card design, platform, and validation teams to realize connectivity solutions for AI scale-up and scale-out deployments.
• Provide technical leadership across physical, link, transaction, transport, and protocol layers of high-speed interfaces and datacenter networking systems.

Requirements:

• 8+ years of hardware architecture, design, validation, testing, or commercialization experience in datacenter, networking, accelerator, or high-speed I/O products.
• Strong understanding of Ethernet, InfiniBand, RoCEv2, RDMA, and related transport protocols.
• Ability to work closely with software teams to optimize end-to-end data movement for high bandwidth, low latency, and efficient resource utilization.
• 3+ years of experience with datacenter products such as servers, accelerators, NICs, switches, racks, or cluster-scale systems.
• Strong knowledge of scale-out networking and scale-up interconnect architectures for AI and cloud infrastructure.
• In-depth knowledge of Ethernet, high-speed SerDes, PCIe/CXL-class interfaces, and board/system-level connectivity tradeoffs.
• Strong understanding of telemetry, observability, RAS, reliability, error handling, and failure-mode analysis in large-scale systems.
• Strong understanding of security, isolation, virtualization, and multi-tenant deployment requirements in datacenter environments.
• Strong understanding of DMA engines, memory hierarchy, I/O virtualization, and accelerator data-movement architectures.
• Ability to operate effectively in a high-caliber, cross-functional, international, and multi-site engineering environment.

Preferred Skills and Experience:

• Good understanding of PCIe, CXL, and UCIe protocols and their use in accelerator, server, and rack-scale architectures.
• Familiarity with Ethernet switch management and control-plane ecosystems such as SONiC, SAI, OpenBMC, Linux networking, and related platform software.
• Good understanding of high-speed SerDes and Ethernet PHY design considerations, including signal integrity, reach, power, latency, and platform tradeoffs.
• Ability to work with customers, product management, architecture, and engineering teams to gather requirements and translate them into clear technical specifications.

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