Phaidra is building AI-powered control systems for the industrial sector to address the limitations of static, monolithic infrastructure. The current hard-coded systems in factories, power plants, and buildings are unable to adapt to their environment, leading to performance degradation. Phaidra's solution enables industrial facilities to automatically learn and improve over time by converting raw sensor data into high-value actions and decisions using reinforcement learning algorithms.
Requirements
- 3+ years of experience specifically in electrical or power systems operations, with a focus on data centers, utilities, or mission-critical infrastructure.
- Strong understanding of power quality, load balancing, harmonics, fault detection, and protective relaying principles.
- Proven experience in analyzing, monitoring and maintaining of electrical distribution systems, including substations, UPS systems, batteries, switchgear, PDUs, and stand-by generator systems.
- Hands-on experience with SCADA, BMS, or energy monitoring systems, including sensor integration and data acquisition.
- Demonstrated ability to use machine learning and advanced analytics for predictive maintenance, energy optimization, and anomaly detection in electrical systems.
- Experience with time-series analysis, signal processing, and predictive modeling for power and thermal performance.
Responsibilities
- Develop electrical system ontology for data centers which will be used to organize customer’s system data in a way where it can be used by AI & LLMs for customer facing products and services.
- Create and utilize tools to continuously monitor system telemetry from sensors, smart meters, and facility management systems to detect early signs of equipment degradation to help prevent service disruptions.
- Develop and deploy advanced anomaly detection models using machine learning and statistical methods to identify irregularities in power usage, voltage stability, cooling performance, UPS/battery behavior and more.
- Design automated alerting frameworks that trigger real-time notifications for operational teams when abnormal conditions are detected (e.g., power spikes, cooling failures, or unexpected load distributions).
- Perform root cause analysis on anomalies and power incidents, correlating data across multiple systems (electrical, mechanical, environmental) to improve reliability and uptime.
- Collaborate with customer operations teams to translate anomaly insights into actionable maintenance and optimization strategies, reducing unplanned downtime and improving PUE (Power Usage Effectiveness).
- Grow the knowledge base about data center electrical systems within Phaidra by openly sharing your knowledge and experience.
Other
- We are seeking a team member located within one of the following areas: USA, Canada, or UK
- Passion for problem solving and using scalable solutions to solve repeat problems.
- Excellent communication skills. Ability to explain complex domain specific concepts to non-domain experts.
- Shares our Company Values: Transparency, Collaboration, Operational Excellence, Ownership, Empathy
- All of our interviews are held via Google Meet, and an active camera connection is required.
