Phaidra builds AI agents that optimize energy and resource efficiency in large-scale AI data centers and other complex industrial facilities.
<div class="content-intro"><h3><strong>About Phaidra</strong></h3> <p>Phaidra is building the future of industrial automation.</p> <p>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.</p> <p>Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:</p> <ul> <li>We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.</li> <li>We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.</li> <li>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.</li> </ul> <p>Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with <a href="https://www.nature.com/articles/nature16961">DeepMind's AlphaGo</a>, to reducing the energy required to cool <a href="https://www.technologyreview.com/2018/08/17/140987/google-just-gave-control-over-data-center-cooling-to-an-ai/">Google's Data Centers</a> by 40%, we deeply understand AI and how to apply it in production for massive impact.</p> <p>Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: <strong>Transparency</strong>, <strong>Collaboration</strong>, <strong>Operational Excellence</strong>, <strong>Ownership</strong>, and <strong>Empathy.</strong> 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</p> <p>Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, <a href="https://www.oysterhr.com/">OysterHR</a>. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.</p></div><h3>Who You Are </h3> <p>As an AI Controls Solutions Engineer, you'll play a critical role in operationalizing and scaling Phaidra's solutions for enterprise data center customers.</p> <p><strong>We are seeking a team member located in the following area: USA. </strong></p> <h3><strong>Responsibilities</strong></h3> <p>You will work closely with the Technical Program Managers (TPMs) and Data Scientists (DSs), as the technical experts for Phaidra's customers. Your role is to use Phaidra's platform and tools to put AI into production.</p> <p>This role can be broken down into two concrete areas of responsibility:</p> <ul> <li>As the subject matter expert, (SME), you will use Phaidra’s products and your knowledge of the customers' needs to create a model of the facility for ingestion by our product lineup. This will require working closely with our Data Science team. You’ll create a representation of the facility in Mort system builder, map tag data, review our Insights logic for facility specific requirements, and assist in analyzing and triaging these systems in the support phase.</li> <li>You will work with the product team to identify and define product requirements based upon each customer’s specification and needs. You will work closely with other AI Controls Solutions Engineers and the Product team to ensure our automated tools enable Phaidra to scale across thousands of customers.</li> </ul> <p>*This role can include 25% travel</p> <h3>Key Qualifications</h3> <ul> <li>10-15 years of work experience as a controls engineer, programmer, or equivalent</li> <li>Possesses expertise in HVAC and Data Center cooling control methodologies and strategies and displays knowledge of chiller plant fundamentals, configurations, and sequence of operations</li> <li>Ability to operate as an Solutions Engineer independently.</li> <li>Understanding of applied thermodynamics for cooling systems, refrigeration systems, and hydronics.</li> <li>Experience designing, programming, or strong working knowledge of industrial and commercial control systems and protocols such as BACnet and Modbus.</li> <li>Understanding the applications and control strategies of air side chilled water and direct expansion cooling systems.</li> <li>Ability to troubleshoot, triage, and analyze issues with control systems and equipment.</li> <li>Strong proficiency in working with data center operations teams and contributing to solving field operations related problems and challenges.</li> <li>Experience programming control systems with PLC, ladder logic, text, or block programming languages.</li> <li>Ability to analyze the performance and viability of your engineered solutions.</li> <li>Passion for problem solving and using scalable solutions to solve repeat problems.</li> <li>Ability to translate a combination of customer-stated and customer-implied needs into coherent needs documentation for use by the software development team.</li> <li>Good educational background in one or more related disciplines pertinent to your area of expertise. Example disciplines include Mechanical Engineering, Computer Science, Software Engineering, Control Theory, Applied Mathematics and other various engineering and applied science fields.</li> <li>Ability to read and write Python scripts (in collaboration with the software engineering team) to implement Insights and scrappy tooling.</li> <l