AI Controls Solutions Engineer deploying Phaidra’s reinforcement-learning control systems for industrial automation. Configuring, commissioning, and supporting HVAC solutions for enterprise data centers.
Responsibilities
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
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