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.
