The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.

Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:

We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.
We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.
We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.

Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.

Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture.

Phaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Italy, Sweden, Spain, Portugal, the Netherlands, Singapore, and India.

In Short

Critical role in operationalizing and scaling Phaidra's solutions for enterprise data center customers.
Work closely with Technical Account Managers and Data Scientists.
Use Phaidra’s platform to put AI into production.
Create models of facilities for AI ingestion.
Collaborate with AI research team on algorithms.
Define product requirements based on customer needs.
25% travel may be required.
10-15 years of experience in controls engineering or programming.
Expertise in HVAC and Data Center cooling control methodologies.
Ability to read and write Python scripts.

Requirements

10-15 years of work experience as a controls engineer, programmer, or equivalent.
Expertise in HVAC and Data Center cooling control methodologies.
Ability to operate as a Solutions Engineer independently.
Understanding of applied thermodynamics for cooling systems.
Experience with industrial and commercial control systems.
Deep understanding of data center specific controls.
Ability to analyze performance and viability of engineered solutions.
Good educational background in relevant disciplines.
Ability to mentor peers and manage project delivery.
Excellent communication skills.