Principal Ethernet Scale-Out Architect, AI Data Center

Technology, Data & Digital · Software & Web Development · Software Engineering · Web Development · Network Administration

In short

Qualcomm is seeking a Principal Ethernet Scale-Out Architect for AI Data Centers in Santa Clara, CA. This role focuses on architecting large-scale Ethernet-based fabrics connecting servers, accelerators, and clusters, requiring deep expertise in networking protocols, NICs, switches, and system data movement.

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.

Desired Qualifications

  • 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.

Benefits

  • Competitive annual discretionary bonus program.
  • Opportunity for annual RSU grants.
  • Highly competitive benefits package designed to support your success at work, at home, and at play.
#AI#Data Center#Ethernet#Scale-Out#Architecture#Networking#ASIC#Cloud
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Company

Qualcomm

Job Posted

3 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Santa Clara, United States of America

Qualification

Bachelor, Master, Doctoral

Applicants

Be an early applicant