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Phaidra

AI-driven control systems for industrial facilities

AI Controls Solutions Engineer - HVAC Systems

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have 5–10 years of work experience as a controls engineer, programmer, or equivalent.
  • Have expertise in HVAC and data center cooling control methodologies and strategies, including knowledge of chiller plant fundamentals, configurations, and sequence of operations.
  • Understand applied thermodynamics for cooling systems, refrigeration systems, and hydronics.
  • Have experience in controls design engineering or strong working knowledge of industrial and commercial control systems and protocols such as BACnet and Modbus.
  • Understand applications and control strategies for air-side chilled-water and direct-expansion cooling systems.
  • Have strong proficiency working with data center operations teams and contributing to solutions for field-operations problems and challenges.
  • Have experience programming control systems with PLC, ladder logic, text, or block programming languages.
  • Have a good educational background in one or more related disciplines, such as Mechanical Engineering, Computer Science, Software Engineering, Control Theory, Applied Mathematics, or other engineering and applied science fields.
  • Be able to read and write Python scripts, in collaboration with the software engineering team, to implement Phaidra’s AI development tool for customer use cases.
  • Be able to explain complex domain-specific concepts to non-domain experts and complex AI and machine-learning concepts to customers who are not specialists in AI or machine learning.
  • Be able to own and manage large sections of documentation and maintain high standards in documentation and communication.
  • Be able to understand customers and support pragmatic urgency and customer satisfaction.
  • Support peers, help improve their work, and participate in pairing sessions.
  • Independently use AI tools to improve workflows, automate repetitive tasks, and support onboarding and troubleshooting.
  • Align with Phaidra’s values of Agency, Velocity, Craft, and Truth.
  • Be located in the USA or Canada and legally authorized to work in the specified location; employment sponsorship is not provided.

Responsibilities

  • Use Phaidra’s products and knowledge of customer needs to create facility models for ingestion by its product lineup, working with the Data Science team.
  • Understand facilities and configure products according to facility and customer requirements; commission and tune products; and assist with system analysis and triage during support.
  • Work with the product team to identify and define product requirements based on each customer’s specifications and needs.
  • Work with other AI Controls Solutions Engineers and the Product team to ensure automated tools scale across thousands of customers.
  • Translate customer-stated and customer-implied needs into documentation for the software development team.
  • Provide ongoing support for deployed products, including resolving support issues and monitoring performance.
  • Lead deployment and support of multiple solutions, potentially in parallel; resolve onboarding or support tickets by coordinating with stakeholders or providing direct solutions.
  • Analyze performance and viability of engineered solutions, and troubleshoot, triage, and analyze issues with control systems and equipment.
  • Use knowledge of Phaidra’s pipelines to identify and address issues and actively manage risk.
  • Act as an internal and customer-facing subject-matter expert on initiatives, including platinum customer support, technical advice for research projects, and support for sales and marketing efforts.
  • Attend site visits as part of onboarding and ongoing work.

Desired Qualifications

  • Have experience rapidly prototyping new technologies and converting them into commercially viable products.
  • Have experience building, owning, and operating personal codebases or services.
  • Have experience architecting services within cloud platforms.
  • Have experience applying AI and machine learning in controls applications.
  • Have experience with statistics and analytics.
  • Have experience with domain-relevant optimization problems and solutions.
  • Be familiar with markup languages such as XML, JSON, or YAML.

About the Company

Phaidra

AI-driven control systems for industrial facilities

Phaidra develops AI-powered virtual plant operators that help operations teams manage mission-critical facilities, focusing on stability, energy efficiency, and sustainability. The system uses self-learning control that automatically adapts cooling, heating, and energy systems based on facility data, instead of static hard-coded controls. It differentiates itself with deep AI/ML expertise and practical know-how from Trane/Johnson Controls, plus demonstrated results like 40% energy savings at Google's data centers. The goal is to reduce energy consumption, improve resiliency, and deliver ongoing value across data centers, pharmaceuticals, and district energy by deploying and maintaining AI-driven control systems.

Company size
51-200
Company stage
Series B
Total funding
$92.5M
Headquarters
Seattle, WA
Founded
2019

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