AI Server/Rack Architecture Engineer

Foxconn-PCE Technology • Santa Clara, CA

2d • $125,000 - $155,000

About The Position

The primary purpose of the AI Server / Rack Architecture Engineer (focused on L10/L11 system-level execution) is to own the physical-to-logical system blueprint, hardware configuration rules, and deployment blueprints for integrated AI supercomputer racks. This role directly contributes by acting as the ultimate system architect on the floor. They translate the high-level, theoretical chip designs from silicon vendors and the hyper-specific, customized hardware demands of Tier-1 hyperscale’s into a structured, validated, and executable rack integration matrix.

Requirements

• Bachelor of Science (BS) Degree in Computer Engineering, Electrical Engineering, Systems Engineering, or Computer Science (paired with heavy, documented experience in computer hardware architecture or data center systems)
• 1+ years of High-Performance Computing (HPC) or Enterprise Server Architecture
• 1+ years of High-Speed Interconnect Fabric & Scale-Out Cluster Topologies
• 1+ years of Open Compute Project (OCP) & Data Center Deployment Compliance

Responsibilities

• Define and optimize rack-level system architecture, integration topology, and technical blueprints for AI server platforms, ensuring compute, network, power, cooling, storage, and mechanical subsystems are properly integrated to meet performance, scalability, reliability, and deployment requirements.
• Identify and resolve design conflicts and interface issues across hardware, mechanical, thermal, power, network, and firmware subsystems by establishing clear technical boundaries, interface requirements, and integration standards to ensure overall system compatibility and stability.
• Translate hyperscale customer requirements into rack-level architecture and design specifications while evaluating alignment with applicable Open Compute Project (OCP) standards. Coordinate required design customizations and compliance activities to ensure solutions meet customer, platform, and deployment requirements.
• Analyze system telemetry, diagnostic data, and failure patterns to identify complex rack-level integration and structural issues. Lead technical triage and root-cause investigations with cross-functional engineering teams to determine corrective actions and improve system reliability.
• Manage architecture-related Engineering Change Orders (ECOs) and evaluate their impact on rack-level design, interfaces, performance, and integration. Provide structured feedback to R&D teams based on validation, failure analysis, and production findings to drive design improvements and prevent recurring issues.

What This Job Offers

• Job Type: Full-time