Data Center Reliability Engineer

Phaidra

1d • $101,320 - $163,900 • Remote

About The Position

Phaidra is building the future of industrial automation by creating AI-powered control systems for the industrial sector. These systems use reinforcement learning algorithms to convert raw sensor data into high-value actions and decisions, enabling industrial facilities to automatically learn and improve over time. Phaidra focuses on industrial applications that are well-sensorized with measurable KPIs. The company enables domain experts to configure AI control systems without writing code. Phaidra's team has a track record of applying AI to challenging problems, including achieving superhuman performance with DeepMind's AlphaGo and reducing the energy required to cool Google's Data Centers by 40%. Phaidra operates as a 100% remote company with no physical office, hiring employees internationally through its partner OysterHR. The company's core values are Transparency, Collaboration, Operational Excellence, Ownership, and Empathy.

Requirements

• 2–3 years of professional relevant experience
• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Control Theory, or a related field that provides a foundation in physical systems and thermodynamics.
• A deep, innate interest in using data to diagnose how and why systems fail.
• Strong Python skills and experience with data manipulation libraries (Pandas/NumPy) to perform custom analysis outside of standard tooling.
• Ability to explain complex diagnostic findings clearly and persuasively to both technical peers and non-domain stakeholders.
• A proven ability to look at a problem without preconceived notions and figure out solutions either independently or via team collaboration.
• Demonstrated commitment to Transparency, Collaboration, and Ownership—especially in environments where reliability and learning from failure are paramount.
• U.S.-based team member (Pacific Time Zone preferred) with flexibility to work hours that overlap with APAC time zones as needed.

Nice To Haves

• Experience with critical infrastructure components (HVAC, power distribution, or industrial automation).
• Experience with time-series data from industrial sensors (SCADA, BMS, Smart Meters).
• Exposure to or a strong interest in how LLMs can be used for root-cause analysis and automated reporting.

Responsibilities

• Utilize existing data ingestion and delivery platforms to teach models to understand the physical world, filling a critical expertise gap in the data center industry.
• Use telemetry tools to analyze sensor data across mechanical (chillers, pumps) and electrical (UPS, switchgear, power feeds) systems to identify "failure signatures" for the LLM-driven monitoring tool.
• Act as a primary user of Phaidra's platforms, identifying gaps in current mechanisms and collaborating with Engineering to influence future features and data quality.
• Translate raw telemetry into "SME-level" logic and directions used by the LLM tool to guide data center operators in real-time.
• Cultivate deep domain expertise in all facets of data center infrastructure, mastering the nuances of both mechanical and electrical dependencies.
• Support customers by using the platform to provide clear, data-backed direction on complex problems.
• Oversee pilot projects to test how the AI-driven SME tool interprets real-world stressors, ensuring the output is operationally realistic, accurate, and actionable.
• Remain agile and proactive, leaning in to solve challenges and scopes not explicitly defined.

Benefits

• Competitive compensation & meaningful equity.
• Outsized responsibilities & professional development.
• Training is foundational; functional, customer immersion, and development training.
• Medical, dental, and vision insurance (exact benefits vary by region).
• Unlimited paid time off, with a required minimum of 20 days per year.
• Paid parental leave (exact benefits vary by region).
• Flexible stipends to support your workspace, well-being, and continued professional development.
• Company MacBook.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level