Data Center Reliability Engineer

• Analyze sensor data across mechanical and electrical systems to identify failure signatures for an LLM-driven monitoring tool.
• Refine the logic engine by identifying gaps in current mechanisms and collaborating with Engineering to influence future features.
• Translate raw telemetry into SME-level logic and directions for real-time guidance of data center operators.
• Oversee pilot projects to validate AI-driven SME tool outputs against real-world stressors.

By improving data center reliability and efficiency through AI-powered control systems, this role directly contributes to reducing energy consumption and operational waste, advancing sustainable industrial automation.

• 2–3 years of professional relevant experience.
• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Control Theory, or related field.
• Strong Python skills and experience with data manipulation libraries (Pandas/NumPy).
• Ability to explain complex diagnostic findings clearly to both technical and non-technical stakeholders.

• Competitive compensation & meaningful equity.
• 100% remote company.
• Medical, dental, and vision insurance.
• Unlimited paid time off with a required minimum of 20 days per year.
• Paid parental leave.
• Flexible stipends for workspace, well-being, and professional development.
• Company MacBook.
• Salary range: $101,320 - $163,900 USD depending on location tier.

Phaidra builds AI-powered control systems for the industrial sector, using reinforcement learning to enable facilities to automatically learn and improve over time, reducing energy consumption and operational inefficiencies.