Critical Facility Engineer

Meta Meta · Big Tech · Temple, TX +2

This role is for a Critical Facility Engineer responsible for operating and maintaining critical systems in Meta's data centers, ensuring high uptime, efficiency, and safety. The role involves hands-on maintenance, troubleshooting, vendor management, and utilizing enterprise asset management systems. While the role mentions AI practices and tools, its core function is facility engineering, not AI/ML development.

What you'd actually do

  1. Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business
  2. Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon)
  3. Achieve and maintain a high-level of technical knowledge regarding data center infrastructure and operations.
  4. Provides technical expertise and assistance as required
  5. Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies

Skills

Required

  • 6+ years of experience in electrical, HVAC, mechanical, controls, or other technical maintenance field
  • Associate's degree in engineering plus 4+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Nice to have

  • prompt/context engineering
  • agent orchestration

What the JD emphasized

  • Responsible, ethical AI practices
  • integrate AI tools to optimize/redesign workflows
  • ongoing AI skill development