Utilidata

Build the integration layer between the Karman platform and diverse customer data center software environments through custom API connectors and test frameworks. Collaborate with customer operations teams to translate technical requirements into actionable integration designs and scalable playbooks.

Lead the intelligence layer of the Karman platform, overseeing algorithms, control methods, and optimization techniques for AI data center power systems. Partner with Engineering and Product leaders to translate research into production-ready capabilities that deliver quantifiable customer value.

The Principal Data Engineer will own the technical direction and architectural design of the data engineering platform, including ingestion, transformation, and storage. They will lead the technical roadmap, mentor engineers, and translate product goals into scalable engineering plans.

The Events & Marketing Lead will execute the company's event strategy by managing logistics, sponsorships, and onsite delivery for industry and customer events. They will collaborate cross-functionally to ensure event messaging aligns with business objectives and supports the go-to-market team.

The AI Infrastructure Engineer will design and own the end-to-end infrastructure for serving AI and ML models across edge, cloud, and data center environments. They will also collaborate with engineering teams to integrate power data with AI inference software and optimize GPU performance.

This role involves designing, building, and operating the off-device platform that ingests, processes, and serves data from edge AI devices across on-premises and cloud environments. Responsibilities include overseeing containerized application deployment via Kubernetes, leading scalable system design on AWS/on-premise, and utilizing Terraform for infrastructure automation.