Skip to main content
Phaidra

Senior AI Controls Solutions Engineer (Australia/Singapore)

RemoteUnited States only
Published
Role
Fullstack
Experience
Senior
Employment
Full-time
AUD 142.8k–AUD 214.1k/yr
Check eligibility

Open to US only. Set where you work from to check your eligibility.

No BS summary

As an AI Controls Solutions Engineer, you'll play a critical role in operationalizing and scaling Phaidra's solutions for enterprise data center customers. You will work closely with the Technical Program Managers (TPMs) and Data Scientists (DSs), as the technical experts for Phaidra's customers.

Core skills

HVACData Center coolingchiller plant fundamentals

Required skills

BACnet/ModbusPLC/ladder logic/text/block programmingPython

Optional skills

XMLJSONYAML

Required languages

English unknown

What you'll do

  • You will use Phaidra’s products and your knowledge of the customers' needs to create a model of the facility for ingestion by our product lineup. This will require working closely with our Data Science team. You’ll understand the facility and configure our products according the facility and customer requirements. Then, you will commission and tune our products and assist in analyzing and triaging these systems in the support phase across multiple concurrent projects.
  • You will work with the product team to identify and define product requirements based upon each customer’s specification and needs. You will work closely with other AI Controls Solutions Engineers and the Product team to ensure our automated tools enable Phaidra to scale across thousands of customers. You will translate a combination of customer-stated and customer-implied needs into coherent needs documentation for use by the software development team.
  • You will provide ongoing support of deployed products, including support issue resolution and monitoring of performance across multiple customers. You will lead the deployment and support of multiple Solutions, perhaps in parallel. This includes resolving onboarding or support tickets by coordinating with the appropriate stakeholders or providing direct solutions. You will possesses deep knowledge of Phaidra’s pipelines and effectively identify and addresses issues and manage risks actively. You will analyze the performance and viability of your engineered solutions, as well as troubleshoot, triage, and analyze issues with control systems and equipment. You will possess deep knowledge of Phaidra’s pipelines to effectively identify and address issues and actively manage risk.
  • You will act as an internal and customer-facing SME, leading a range of initiatives, including the delivery of platinum support to customers, providing technical advice to research projects, and supporting sales and marketing efforts.

What they require

  • 10-15 years of work experience as a controls engineer, programmer, or equivalent
  • Possesses expertise in HVAC and Data Center cooling control methodologies and strategies and displays knowledge of chiller plant fundamentals, configurations, and sequence of operations.
  • Has the ability to operate independently as a senior member of the team, managing complex projects across multiple customers.
  • Understanding of applied thermodynamics for cooling systems, refrigeration systems, and hydronics.
  • Experience designing, programming, or strong working knowledge of industrial and commercial control systems and protocols such as BACnet and Modbus.
  • Understanding the applications and control strategies of air side chilled water and direct expansion cooling systems.
  • Strong proficiency in working with data center operations teams and contributing to solving field operations related problems and challenges.
  • Experience programming control systems with PLC, ladder logic, text, or block programming languages.
  • Passion for problem solving and using scalable solutions to solve repeat problems.
  • Good educational background in one or more related disciplines pertinent to your area of expertise. Example disciplines include Mechanical Engineering, Computer Science, Software Engineering, Control Theory, Applied Mathematics and other various engineering and applied science fields.
  • Ability to read and write Python scripts (in collaboration with the software engineering team) to implement Insights and scrappy tooling.
  • Exhibits excellent communication skills and has the ability to explain complex domain specific concepts to non-domain experts and also explain complex AI and ML specific concepts to non-AI/ML specific customers.
  • Ability to own and manage large sections of documentation, fostering a culture of high standards in documentation and communication.
  • Ability to understand customers well and drive a culture of pragmatic urgency and customer satisfaction.
  • Ability to own project delivery within team, work as an independent contributor, and rally other individuals on the team to accomplish substantial tasks that cannot be completed independently.
  • Ability to mentor peers, delegate within team, handle project stakeholders, build relationships with other departments within Phaidra, and collaborate with their manager on the roadmap, backlog, and work planning.
  • Uses AI tools strategically to accelerate delivery, improve quality, and guide others in effective AI-assisted workflows.
  • Alignment with Phaidra's values: Agency, Velocity, Craft, & Truth.

Benefits

  • Fast-paced, team-oriented environment where your work directly shapes the company’s direction.
  • We are a 100% remote company.
  • Competitive compensation & meaningful equity.
  • Outsized responsibilities & professional development.
  • Training is foundational; 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.

Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically: We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning. We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra’s ability to achieve its mission is determined by our ability to work together — as defined by our core values: Agency, Velocity, Craft, and Truth. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture. Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.

🇺🇸 United StatesIndustrial Automation
AUD 142.8k–AUD 214.1k/yr