AI Server/Rack system Lead manager

Foxconn-PCE Technology • Santa Clara, CA

1d • $165,000 - $195,000

About The Position

The AI Server/Rack System Lead Manager leads a multidisciplinary engineering team across System, Electrical, Power, and Mechanical Engineering to ensure multi-million-dollar AI hardware clusters are transformed from integrated racks into fully configured, stable, high-quality systems ready for deployment at hyperscale data centers. This role provides technical leadership across system integration, manufacturing execution, quality, customer requirements, and production readiness.

Requirements

• Bachelor of Science (BS) degree in Electrical Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, Manufacturing Engineering, or a closely related field is required.
• 4–7+ years of experience in enterprise server, rack infrastructure, or AI cluster system engineering, with strong knowledge of full-stack AI cluster architecture, high-speed network topologies, and advanced infrastructure limitations.
• 3–5 years of experience leading multidisciplinary engineering teams, managing personnel, allocating resources, and resolving complex technical issues in fast-paced production environments.
• 2+ years of experience integrating high-density power and liquid cooling infrastructure, with the ability to understand system-level electrical, thermal, mechanical, and performance requirements.
• 3+ years of experience in manufacturing operations, yield analysis, cycle-time optimization, and quality frameworks, with demonstrated ability to drive root-cause analysis and continuous improvement.
• 2+ years of experience enforcing U.S. industrial safety requirements, with knowledge of applicable regulatory standards, high-voltage safety, mechanical safety, and the ability to lead technical decisions under pressure.

Responsibilities

• Lead System, Electrical, Power, and Mechanical Engineering teams in resolving complex production and system-level issues. Serve as the primary technical escalation point for critical issues on the manufacturing floor and drive timely resolution.
• Drive improvements in factory yield, cycle time, system quality, and production efficiency for AI server/rack systems. Establish engineering quality standards and use data-driven analysis to identify and eliminate recurring production issues.
• Work directly with hyperscale’s and key customers to align system requirements, validation criteria, and deployment expectations. Lead technical readiness reviews and provide engineering support for customer release and system sign-off.
• Manage engineering changes and ensure manufacturing feedback is incorporated into system and product improvements. Establish effective feedback loops between R&D, manufacturing, quality, and customer teams to improve product performance and reliability.
• Ensure engineering and manufacturing activities comply with high-voltage, mechanical, and workplace safety requirements. Promote safe engineering practices and enforce applicable U.S. regulatory and company safety standards.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager