Phaidra builds AI agents for AI factories, helping data center operators optimize compute, power, cooling, and maintenance for greater performance, reliability, and efficiency. Backed by Index.
About the role
**This role is posted at multiple levels (mid-level and senior). Final leveling, title, and compensation will be determined based on the candidate's experience, skills, and qualifications during the interview process. To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled.
What they're looking for
- You’re an independent worker, skilled in organization, planning, and project management
- You have technical knowledge of industrial controls, building automation systems, and/or air or water cooled chiller plants
- You have the drive to learn about different industries and technologies, and a passion to help customers operate their plant more efficiently and effectively with Phaidra’s AI supervisory control system
- You can take ownership of your assigned customers and delight them!
- You thrive in a process-driven environment, yet possess the flexibility to adapt and tailor those processes to each customer's unique needs
- You enjoy collaborating with cross-functional teams to tackle complex projects, leveraging your expertise to drive successful outcomes
More about this role
Phaidra is building the future of industrial automation.
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...
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