Principal Technology Role

Principal Technology Leader – AI Networking & Infrastructure Architecture

Role Overview

We are seeking a Principal Technology Leader to drive the architecture, strategy, and ecosystem engagement for next-generation AI networking and infrastructure solutions. This role operates horizontally across business units, shaping cohesive end-to-end (E2E) system architectures spanning GPU/XPU compute, networking fabrics, memory systems, and software stacks.

The candidate will engage deeply with hyperscalers, AI platform providers, and silicon partners, influencing both product direction and industry standards, while translating workload requirements into scalable, high-performance infrastructure designs.

Key Responsibilities

1. Cross-BU Technical Leadership

• Work across switching, NIC, optics, and software BUs to:
  • Align on a unified AI networking strategy
  • Influence roadmaps and feature prioritization
  • Ensure architectural consistency across product lines
• Act as a technical bridge between silicon, systems, and software teams
• Identify gaps and drive new product/feature incubation

2. Customer & Partner Engagement

• Serve as a trusted technical advisor to key customers:
  • Hyperscalers
  • AI infrastructure providers
  • GPU/XPU vendors
• Engage in deep co-design discussions on:
  • Cluster architectures
  • Networking topologies (Clos, Dragonfly, multi-plane scale-up)
  • Congestion control and transport behavior
• Translate customer requirements into actionable architectural and product inputs
• Support executive-level technical discussions and strategic engagements

3. AI Networking Strategy & Industry Leadership

• Define and drive long-term AI networking strategy, including:
  • Ethernet evolution for AI (lossless, low-latency enhancements)
  • Scale-up networking over Ethernet (e.g., SUE, ESUN concepts)
  • Integration with emerging standards (UEC, OCP, IEEE)
• Represent the company in:
  • Industry consortia (OCP, UEC, IEEE)
  • Technical conferences (SC, Hot Chips, etc.)
• Develop thought leadership: whitepapers, keynote content, technical blogs

4. Ecosystem Development

• Build strong partnerships across:
  • GPU/XPU vendors
  • System OEMs/ODMs
  • Software stack providers (frameworks, runtimes, orchestration)
• Influence open ecosystem development while ensuring competitive differentiation
• Drive interoperability and standardization efforts
  
  Required Qualifications
• Bachelor's degree in Engineering field and 15+ years of experience in:
  • Networking architecture (Ethernet switching, NICs, transport protocols)
  • Large-scale distributed systems or HPC/AI infrastructure
• Deep expertise in:
  • AI/ML workloads (training & inference)
  • Scale-up and scale-out network architectures
  • Congestion control, transport protocols, and performance optimization
• Strong understanding of:
  • GPU/XPU architectures and communication patterns
  • Memory systems (HBM, CXL, KV cache architectures)
• Proven experience working with hyperscalers or large cloud providers
• Demonstrated ability to influence product strategy and architecture at scale
   

• Preferred Qualifications

• Experience with:
  • Ultra Ethernet / RDMA / RoCE / custom AI transports
  • High-radix switching architectures and topology design
  • Optical interconnects (pluggables, LPO, CPO)
• Active participation in industry standards bodies (OCP, UEC, IEEE)
• Track record of:
  • Publications, patents, or conference presentations
  • Driving cross-organizational initiatives