Jobs at Utilidata

The AI Infrastructure Engineer designs and builds infrastructure for AI and ML models across various environments, optimizing performance and reliability.

The Software Engineer will design and implement edge software for IoT devices, focusing on machine learning and high-performance systems, while collaborating with cross-functional teams, and maintaining CI/CD processes.

Manage and execute event strategy for internal and external conferences and trade shows, ensuring alignment with business goals and managing logistics, sponsorships, and cross-functional collaboration.

The Technical Operations Engineer, Quality & Test is responsible for transitioning hardware from validation to production readiness, focusing on quality processes and ensuring scalable manufacturing capabilities. This role includes developing build processes, managing inspections, and coordinating supplier activities to support the reliability of hardware production.

The Technical Program Manager will oversee hardware development projects, driving cross-functional collaboration and ensuring delivery of complex technical initiatives while managing risks and performance metrics.

The Senior Network & Systems Engineer handles Tier 3 IT support, manages network infrastructure, maintains systems administration, and addresses complex technical issues for Utilidata's IT and security operations.

The role involves designing, building, and operating a platform for data from edge AI devices, ensuring systems are scalable and reliable while mentoring engineers. Responsibilities include managing containerized applications using Kubernetes, implementing infrastructure as code with Terraform, and supporting compliance and continuous improvements while collaborating with cross-functional teams.

The VP, AI & Applications leads Karman's intelligence layer, overseeing algorithms, control methods, and optimization techniques while driving co-development with partners and managing technical teams.

Develop production-grade firmware for embedded systems in power grid applications. Responsibilities include firmware design, hardware collaboration, communication protocols, and security implementations.

The Principal Data Engineer will lead technical direction, manage data platforms, make architectural decisions, mentor engineers, and ensure data systems operate reliably.