The Machine Learning Engineer will collaborate with customers to tailor AI solutions, design and optimize ML pipelines, and drive innovation in the nuclear and utility sectors.

Lead engineering strategy across software, hardware, cybersecurity, and quality assurance. Oversee teams, design org structure, and ensure reliable AI-driven solutions.

Architect scalable frontend systems, optimize performance for data-heavy applications, mentor engineers, and build user-friendly data visualizations. Collaborate with teams to create elegant interfaces for complex data workflows.

As a Staff Full Stack Engineer, you'll lead architecture, resolve technical challenges, and ensure system reliability while mentoring engineers. This role combines technical design, coding, and cross-team influence to deliver AI-powered software in safety-critical environments.

Own and scale on-prem AI hardware and Phoenix data center: design GPU/CPU architectures, define storage/network/container standards, manage rack/power/cooling/firmware, validate customer infrastructure, plan GPU refreshes, and collaborate with ML, platform, and utility IT teams to ensure high-performance, production AI workloads.

The Customer Success Engineer will manage customer relationships, provide technical support, assist in software implementation, and offer business consultation while optimizing customer use of the software platform.

Develop and maintain full-stack applications using React for frontend and Python with FastAPI for backend, ensuring reliability and data processing. Responsibilities include API design, data ingestion, and customer collaboration.

Lead recruiting, onboarding, and employee development for a growing team in a fast-paced environment, ensuring quality hiring and engagement.