xAI

xAI

Power Systems Engineer (Data Center Infrastructure)

Memphis, TN; Southaven, MS

Sponsorship not specified$91k-$710kDetected 1 day ago
Code ReviewExcelSystems EngineeringElectrical EngineeringPower ElectronicsLeadershipCommunication

About the role

  • You will be able to operate with autonomy to solve diverse and complex problems, excel at managing multiple projects simultaneously, and work in a dynamic, fast-paced environment.

Responsibilities

  • Work in a team environment with other engineering disciplines to provide detailed electrical design and specification for the installation of the following equipment and systems:
  • Ground support system controls and ladder logic.
  • Building and site grounding systems.
  • Provide electrical engineering support to facility technicians to troubleshoot existing electrical equipment and controllers.

Requirements

  • Bachelor's degree in electrical engineering or other engineering discipline.
  • 3+ years of professional experience working on electrical projects, power distribution systems, switchgear, UPS's, and/or generators.
  • 5+ years of years of professional experience in a similar role.
  • Experience with variable frequency drives (VFDs) and industrial pumps.

Skills

  • Professional Engineering (PE) license.
  • Ability to read and understand power and control schematics.
  • Ability to read and understand highly technical equipment operation and maintenance (O&M) manuals.
  • Experience with controls in MODBUS communication.
  • Experience with medium voltage distribution.
  • Experience with control panel design and production.
  • Working knowledge of power coordination and arc flash.
  • Ability to work on multiple tasks concurrently.
  • High level of self-motivation, with the ability to work under minimal supervision.
  • Good organizational skills.
  • Ability to prioritize and schedule workload.
  • Strong written and verbal communication skills.

Compensation

  • $91k-$710k

This listing is sourced directly from xAI's careers page and normalized into a canonical job model.