Lead Ethernet Scale-Out Architect for AI Datacenters

Qualcomm; San Diego (CA); On-site; USD 192,000 - 305,000; Full time

Job summary

Qualcomm Technologies, Inc. is seeking an experienced Hardware Scale-Out Architect to define the next generation of AI datacenter products.

You will architect large-scale Ethernet-based fabrics connecting servers, accelerators, racks and multi-rack clusters, partnering with SoC, software, card, platform and product teams. The role requires deep expertise in Ethernet, RoCE/RDMA, NICs, scale-out switches, and end-to-end system data movement across accelerator cards to racks.

Qualifications

• 8+ years of ASIC design, verification, validation, integration, or related work experience.
• 7+ years if holding a Master's degree in Science or Engineering.
• 6+ years if holder of a PhD in Science or Engineering.

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.

Skills

Ethernet architectures

Datacenter networking

Scale-out systems

Education

BSc in Science/Engineering

MSc in Science/Engineering

PhD in Science/Engineering

Tools

PCIe

CXL

UCIe

SONiC/OpenBMC/Linux networking

Job description

Qualcomm Technologies, Inc. is seeking an experienced Hardware Scale-Out Architect to define the next generation of AI datacenter products.

You will architect large-scale Ethernet-based fabrics connecting servers, accelerators, racks and multi-rack clusters, partnering with SoC, software, card, platform and product teams. The role requires deep expertise in Ethernet, RoCE/RDMA, NICs, scale-out switches, and end-to-end system data movement across accelerator cards to racks.