AI Server & Rack Systems Lead for Hyperscale Deployments

Foxconn E BG Group

Santa Clara (CA)

On-site

USD 150,000 - 190,000

Full time

5 days ago
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Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Leadership experience
System integration
Electrical engineering
Power & cooling infrastructure
Manufacturing operations
Safety compliance

Education

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

Job description

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

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