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As an AI Controls Solutions Engineer, you will operationalize AI solutions for enterprise data centers by modeling facilities for AI ingestion, collaborating on algorithms, and deploying solutions in production. You will also define product requirements based on customer needs.

As a Senior Software Engineer, you will lead technical efforts in the product team, mentoring peers, improving engineering culture, and driving the technical vision. You will develop scalable services, collaborate with product and architecture teams, contribute to cross-functional initiatives, and ensure operational excellence in deployments and service reliability.

As a Software Engineer in the Data Platform team, you will design and implement components for streaming and batch data processing, build APIs, and optimize data stores, contributing directly to the future of industrial automation.

AI Research Scientist at Phaidra, specializing in Control Theory. Responsibilities include designing, implementing, and evaluating models and software prototypes for perceptual processing. Remote position with international team members. Applicants accepted from specified locations in the US, UK, Canada, and Europe.

Phaidra, a remote-based company, is seeking a Software Engineer (Backend) to join their Data Platform team focused on building streaming & batch components, data and feature stores, APIs, and services for AI training.

Phaidra is looking for a driven Software Engineer (Backend) to establish services, APIs, contracts, and processes for their Control Plane team. The role involves designing and implementing significant parts of the code base, providing technical guidance, and initiating and delivering technical projects. The ideal candidate should have deep empathy for customers, be curious about technologies, and be willing to collaborate and support other engineers.

Phaidra is seeking a Research Scientist to develop novel algorithmic architectures for intelligent control systems in the industrial sector. The role involves collaborating on real-world problems and applying expertise in machine learning, reinforcement learning, and optimization.