Emerald AI turns AI data centers into flexible grid assets, unlocking power capacity for AI while protecting grid reliability and energy affordability.
About the role
As a Member of Technical Staff, you will help invent and build the next generation of software systems that enable AI infrastructure to operate intelligently under power constraints. You will work at the intersection of AI systems, distributed computing, cloud infrastructure, and energy-aware optimization, developing technologies that move from research prototypes into production deployments.
What they're looking for
- Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field
- Experience deploying systems in production cloud or distributed environments
- Experience working with large codebases, production software, or open-source infrastructure
- Experience with Kubernetes, Slurm, distributed training/inference frameworks, or large-scale AI infrastructure
- Experience with GPU systems, accelerators, or performance analysis tools
- Experience in optimization, control systems, resource scheduling, or systems performance
More about this role
We’re at a pivotal moment for AI and energy. Demand for compute is skyrocketing, but power constraints are becoming a critical bottleneck. Emerald AI sits at the intersection of these two worlds, enabling AI data centers to scale without overwhelming the grid.
Our Emerald Conductor software platform makes data centers flexible and responsive, allowing them to adjust power usage dynamically. This unlocks massive AI growth without major new infrastructure, while also strengthening the grid and supporting the expansion of renewable energy.
We’re a team of experts across AI, cloud, software, and energy—on a mission to scale AI sustainably. We’re backed by leading investors and partners including Radical Ventures and NVIDIA.
Learn more about our vision, team, and backers at https://www.emeraldai.co/ .
As a Member of Technical Staff, you will help invent and build the next generation of software systems that enable AI infrastructure to operate intelligently under power constraints. You will work at the intersection of AI systems, distributed computing, cloud infrastructure, and energy-aware optimization, developing technologies that move from research prototypes into production...
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