AI Server & Rack Systems Lead for Hyperscale Deployments

Foxconn E BG Group; Santa Clara (CA); Presencial; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Foxconn seeks an AI Server/Rack System Lead Manager to guide multispecialty engineering teams spanning System, Electrical, Power, and Mechanical disciplines. You will drive the transformation of multi-million-dollar AI hardware racks into fully configured, deploy-ready systems for hyperscale data centers, championing production readiness, quality, and customer requirements.

You will oversee engineering changes, promote data-driven improvements, and ensure adherence to high-voltage and safety

Formación

• Bachelor’s degree in a closely related field is required.
• 4–7+ years in enterprise server, rack infrastructure, or AI cluster system engineering.
• 3–5 years leading multidisciplinary engineering teams.
• 2+ years integrating high-density power and liquid cooling infrastructure.
• 3+ years in manufacturing operations, yield analysis and quality frameworks.
• 2+ years enforcing U.S. industrial safety requirements.

Responsabilidades

• Lead System, Electrical, Power, and Mechanical Engineering teams to resolve complex production and system-level issues.
• Drive improvements in factory yield, cycle time, system quality, and production efficiency.
• Coordinate with hyperscale customers to align system requirements and validation criteria.
• Manage engineering changes and ensure feedback loops between R&D, manufacturing, quality, and customers.
• Ensure compliance with high-voltage, mechanical, and workplace safety standards.

Conocimientos

Leadership experience

System integration

Electrical engineering

Power & cooling infrastructure

Manufacturing operations

Safety compliance

Educación

Bachelor of Science in Electrical/Computer/Systems/Mechanical/Manufacturing Engineering

Descripción del empleo

Foxconn seeks an AI Server/Rack System Lead Manager to guide multispecialty engineering teams spanning System, Electrical, Power, and Mechanical disciplines. You will drive the transformation of multi-million-dollar AI hardware racks into fully configured, deploy-ready systems for hyperscale data centers, championing production readiness, quality, and customer requirements.

You will oversee engineering changes, promote data-driven improvements, and ensure adherence to high-voltage and safety