Hardware System Architecture Fellow, AI & Data Center Networking

What you'll do

• Define system-level architecture for AI scale-out and scale-up networking platforms based on product requirements.
• Drive architectural decisions for interconnect topology, board partitioning, power delivery, and signal integrity.
• Lead early-phase feasibility analyses to identify technical risks and trade-offs.
• Serve as the primary technical authority for challenges across ASIC, packaging, board design, optics, and thermal integration.
• Resolve complex bring-up and field issues by synthesizing cross-domain data for root-cause closure.
• Establish standardized architecture review frameworks and system validation flows to improve execution quality.
• Mentor senior engineers on system architecture, trade-off analysis, and technical growth.
• Shape multi-generation platform roadmaps aligned with the company's AI networking strategy.

What we're looking for

• Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
• Deep expertise in system-level hardware architecture for networking, AI infrastructure, or data center platforms.
• Proven track record of architecting and delivering complex hardware systems across multiple product generations.
• Broad understanding of board design, power delivery, signal integrity, system validation, and high-speed bring-up.
• Demonstrated ability to solve ambiguous, cross-domain problems with significant technical and business impact.
• Experience with AI scale-out networking systems, including AI-NICs, DPUs, or high-bandwidth switching platforms (preferred).
• Familiarity with advanced interconnect and packaging technologies and their system-level implications (preferred).