Job Description:
• Operationalize and scale Phaidra’s AI-powered control solutions for enterprise data center customers
• Create facility models for ingestion by Phaidra’s products in collaboration with Data Science
• Understand facilities and configure products according to facility and customer requirements
• Commission, tune, analyze, and triage deployed control systems
• Identify and define product requirements based on customer specifications and needs
• Translate customer-stated and customer-implied needs into documentation for software development
• Lead deployment and ongoing support of multiple solutions, potentially in parallel
• Resolve onboarding and support tickets by coordinating with stakeholders or providing direct solutions
• Monitor solution performance, troubleshoot control systems and equipment, analyze issues, and manage risk
• Act as an internal and customer-facing subject matter expert
• Deliver platinum customer support, advise research projects, and support sales and marketing efforts
• Participate in customer onboarding, new system creation, troubleshooting, site visits, code repository contributions, and business process refinement
Requirements:
• Located in the USA or Canada
• 5–10 years of work experience as a controls engineer, programmer, or equivalent
• Expertise in HVAC and data center cooling control methodologies and strategies
• Knowledge of chiller plant fundamentals, configurations, and sequence of operations
• Understanding of applied thermodynamics for cooling systems, refrigeration systems, and hydronics
• Experience in controls design engineering or strong working knowledge of industrial and commercial control systems and protocols such as BACnet and Modbus
• Understanding of air-side chilled-water and direct-expansion cooling systems and control strategies
• Proficiency working with data center operations teams and solving field-operations problems
• Experience programming control systems with PLC, ladder logic, text, or block programming languages
• Good educational background in a related discipline such as Mechanical Engineering, Computer Science, Software Engineering, Control Theory, Applied Mathematics, engineering, or applied sciences
• Ability to read and write Python scripts in collaboration with software engineering
• Excellent communication skills and ability to explain complex domain-specific and AI/ML concepts to non-experts
• Ability to own and manage documentation
• Ability to understand customers and drive customer satisfaction
• Ability to support peers and conduct pairing sessions
• Ability to independently use AI tools to improve workflows, automate repetitive tasks, and support onboarding and troubleshooting
• Alignment with Collaboration, Transparency, Operational Excellence, Ownership, and Empathy
• Ability to travel up to 25%
• Legally authorized to work in the specified location; no employment sponsorship provided
• Candidates advancing beyond initial screening must sign an NDA
• Employment offers contingent on employment authorization verification and applicable background checks
Benefits:
• 100% remote company
• Competitive compensation & meaningful equity
• Outsized responsibilities & professional development
• 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
• Virtual team-building activities and social events
• Weekly all-hands meetings
• Asynchronous communication supporting focus and flexibility across time zones