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About the role
- 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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