Senior Electrical Systems Specialist (Data Center Reliability)

• Define and maintain a domain-accurate electrical system ontology for data centers, ensuring customer system data reflects real-world electrical infrastructure, dependencies, and failure modes.
• Apply deep knowledge of data center electrical systems to interpret telemetry from sensors, smart meters, and facility management systems, identifying early indicators of equipment degradation or abnormal behavior.
• Specify, constrain, and validate analytical approaches—including statistical methods and machine learning—to detect anomalies in power usage, voltage stability, load behavior, and UPS/battery systems.
• Design and refine automated detection and alerting logic that mirrors how experienced operators reason about electrical system health, ensuring alerts correspond to actionable operational conditions.

This role helps industrial facilities automatically learn and improve over time through AI-powered control systems, reducing energy consumption and improving reliability in critical infrastructure like data centers.

• Minimum of 3 years of direct experience operating or monitoring electrical power systems within data center environments, including hands-on exposure to live, production infrastructure.
• Bachelor’s degree in electrical engineering, power systems engineering, energy systems, or a closely related discipline or equivalent professional experience.
• Deep, working understanding of data center electrical power systems—including power quality, load balancing, redundancy architectures, harmonics, fault detection, and protective relaying.
• Proven ability to identify recurring electrical or operational patterns in data center environments and contribute to durable, scalable solutions.

• Competitive compensation & meaningful equity
• Medical, dental, and vision insurance (varies by region)
• Unlimited paid time off, with a required minimum of 20 days per year
• Paid parental leave (varies by region)
• Flexible stipends for workspace, well-being, and professional development
• Company MacBook
• 100% remote work environment

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time using reinforcement learning algorithms to convert raw sensor data into high-value actions and decisions.