You will act as a subject matter expert to operationalize and scale AI-powered control systems for enterprise data center customers. This involves creating facility models, defining product requirements, and collaborating with data science and product teams to ensure successful deployments.
You will operationalize and scale AI-powered control solutions for enterprise data center customers by configuring models and commissioning systems. Additionally, you will provide ongoing technical support, lead implementation projects, and act as a subject matter expert for both internal teams and clients.
You will partner with the CPO to drive the product strategy and roadmap for Prism, establishing it as the primary operating platform for data centers. This involves translating customer pain points into technical requirements and leading cross-functional teams to deliver integrated, agentic AI solutions.
The Senior Data Scientist will own a portfolio of customer deployments, proactively identifying performance issues and diagnosing system failures. They will also encode operational expertise into AI logic, validate model performance, and collaborate with cross-functional teams to drive impact.
Design, implement, and evaluate model-based reinforcement learning agents and planning-based controllers for industrial control systems. Develop learned dynamics and world models while mentoring Research Engineers to translate research into practical production outcomes.
You will operationalize and scale AI-powered control solutions for enterprise data center customers by configuring models and commissioning systems. Additionally, you will provide ongoing technical support, troubleshoot performance issues, and act as a subject matter expert for both internal teams and customers.
You will own the research, behavioral quality, and applied intelligence layer of agentic products, including reasoning patterns, prompts, and evaluation systems. You will partner with cross-functional teams to ensure agents are reliable, interpretable, and aligned with industrial operational needs.
Design and implement physics-based simulation models for thermodynamic and fluid systems while collaborating with AI researchers to integrate these simulators into reinforcement learning pipelines. Validate simulation models against real-world data and contribute to the development of scalable, reusable simulation tools.
Lead a team of Solutions Engineers and Technical Program Managers to drive operational excellence and technical vision. Ensure seamless project execution, manage customer relationships, and influence product requirements based on technical engagements.
You will own, maintain, and expand the internal ontology that defines HVAC and EPMS components, tags, and relationships for the Prism product. You will also design and maintain the tooling, schemas, and pipelines that allow engineering and solutions teams to author and validate the model.
You will lead the design and implementation of systems to make Phaidra’s platform capabilities available on Azure. This involves building reusable platform components, establishing deployment workflows, and ensuring reliability, security, and observability across Azure environments.
You will build and operate the Azure platform used by product and AI engineering teams, owning components from implementation through production. This involves creating reusable infrastructure, deployment workflows, and developer-facing automation to support Phaidra's growth.
Lead the design and implementation of infrastructure for deploying and operating control software within customer-controlled networks. Collaborate with cross-functional teams to turn site-specific constraints into reusable platform capabilities for installation, configuration, and monitoring.
Design, implement, and evaluate model-based reinforcement learning agents and planning-based controllers for industrial control systems. Develop learned dynamics and world models while mentoring research engineers to translate research into practical production outcomes.
You will operationalize and scale AI-powered control solutions for enterprise data center customers by configuring systems and creating facility models. Additionally, you will provide ongoing technical support, troubleshoot control systems, and collaborate with data science and product teams to define requirements.
You will lead the deployment, commissioning, and tuning of AI-powered control systems for industrial data center customers. Additionally, you will act as a technical expert, collaborating with data scientists and product teams to define requirements and provide ongoing support for deployed solutions.
Lead the product strategy and roadmap for Prism to establish it as the agentic operating platform for data centers. Partner with the CPO and cross-functional teams to translate customer pain into technical requirements and drive the platform from a point solution to a comprehensive intelligence layer.
Own the end-to-end delivery of complex, large-scale customer programs for AI-powered industrial control systems. Lead program strategy, manage executive-level communication, and collaborate with engineering teams to ensure successful deployment and customer satisfaction.
The engineer will act as the subject matter expert, modeling customer facilities for AI ingestion using Phaidra's platform and collaborating with Data Scientists to define product requirements based on customer needs. They will also work to ensure automated tools enable scaling the solution across thousands of customers.
Phaidra creates AI-powered control systems for the industrial sector, enabling facilities to automatically learn and improve over time. The team focuses on applying AI to complex industrial problems and fostering collaboration among domain experts.
