Drive cross-functional technical programs that coordinate engineering, product, operations, and external partners to deploy power-flexible AI data centers and integrate with data center and utility environments.
Emerald-AI jobs
Makes AI data centers flexible grid assets to support power capacity, grid reliability, and energy affordability.
6 open roles at Emerald-AI
Research and build production-ready systems for power-aware AI infrastructure, applying machine learning, optimization, and distributed computing to move innovations from prototypes into real-world deployments.
Architect and build a managed AI cloud from end to end, owning its control plane, multi-tenant GPU infrastructure, workload orchestration, storage, and operational standards for reliable customer services.
Leads the 0-to-1 strategy, development, and launch of AI cloud services, translating customer and market needs into differentiated products for AI compute provisioning, management, and developer workflows.
Own the roadmap and delivery of a technical compute platform that orchestrates AI workloads across distributed infrastructure, translating customer and engineering needs into reliable, scalable platform capabilities.
Build and scale reliable backend and distributed systems for real-time energy intelligence, owning services, APIs, infrastructure, and end-to-end features while shaping the platformโs technical direction.
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