Base Salary
$81k - $144k/yr
Responsibilities
- Create facility models for ingestion by Phaidra’s products in collaboration with Data Science.
- Configure, commission, tune, analyze, and triage Phaidra control solutions according to facility and customer requirements.
- Define customer-driven product requirements and translate stated and implied needs into documentation for software development.
- Lead deployment and support of multiple solutions, potentially in parallel.
- Resolve onboarding and support tickets by coordinating with stakeholders or providing direct technical solutions.
- Monitor solution performance, troubleshoot control-system and equipment issues, analyze viability, and actively manage risk.
- Act as an internal and customer-facing subject-matter expert for customer support, research projects, sales, and marketing initiatives.
- Support customer onboarding, new system creation, process refinement, documentation, and contributions to the code repository.
- Attend customer site visits and participate in troubleshooting and deployment activities.
Requirements
- 5–10 years of experience as a controls engineer, programmer, or equivalent.
- Expertise in HVAC and data center cooling control methodologies, including chiller plant fundamentals, configurations, and sequences of operation.
- Understanding of applied thermodynamics for cooling systems, refrigeration systems, and hydronics.
- Experience with controls design engineering or industrial and commercial control systems and protocols such as BACnet and Modbus.
- Knowledge of air-side chilled-water and direct-expansion cooling systems.
- Experience working with data center operations teams to solve field-operations problems.
- Experience programming control systems using PLC, ladder logic, text, or block programming languages.
- Ability to read and write Python scripts to implement Phaidra’s AI development tool for customer use cases.
- Ability to explain complex domain-specific and AI/ML concepts to non-specialists.
- Ability to own and manage substantial documentation and communicate to high standards.
- Preferred experience rapidly prototyping technologies and converting them into commercially viable products.
- Preferred experience building, owning, and operating codebases or services.
- Preferred experience architecting services within cloud platforms.
- Preferred experience applying AI and ML to controls applications.
- Preferred experience with statistics, analytics, and domain-relevant optimization problems.
- Familiarity with XML, JSON, or YAML.
- Candidates must be located in the USA or Canada and legally authorized to work in the specified location without sponsorship.
Benefits
- 100% remote work with no physical office; candidates must be located in the USA or Canada.
- 25% travel may be required, including site visits.
- Medical, dental, and vision insurance, varying by region.
- Unlimited paid time off with a required minimum of 20 days per year.
- Paid parental leave, varying by region.
- Flexible stipends for workspace, well-being, and professional development.
- Company MacBook.
- Equity eligibility and professional development opportunities are provided, though compensation figures are excluded here.
Tech Stack
Categories
About Phaidra
Phaidra deploys AI agents for AI factories. Our two product lines cover both the facility and IT sides of traditional data centers and AI factories. Phaidra Prism is an LLM-first AI assistant to the on-site operations teams in mission critical facilities. The Prism platform identifies, prioritizes and provides actionable insights to any issues in the facility mechanical systems. This platform also includes an LLM for natural language interaction between ops staff and their BMS, CMMS and EPMS - unifying silo'd systems and providing a simpler way for operations staff to make better decisions, faster. Phaidra includes a line of purpose-built AI agents to orchestrate the power, cooling and workload management systems in AI factories. The first of these AI agents currently available is the Phaidra DTC Liquid-cooling agent. This agent sits at the CDU controller and optimizes the TCS loop to deliver step function improvements in thermal stability, reliability and energy efficiency. This AI agent can be deployed across thousands of CDUs and dramatically reduces the thermal spikes that occur when AI workloads ramp up. Phaidra's AI agents work to maximize tokens per watt and reduce the overall power needed for cooling, enabling more power for IT deployment. Our co-founders and leadership team represent the combination of deep AI and machine learning expertise and data center operational experience from companies like Google-Deepmind and AWS with the applied knowledge of mission critical cooling systems from organizations like Trane Technologies and Johnson Controls. We are purpose-built for the data center industry.