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
In this role, you will design real-time telemetry pipelines, integrate with datacenter power and compute systems, and implement control and optimization logic that dynamically adjusts workloads based on grid and infrastructure conditions. This role bridges IT and OT environments - turning raw operational data into safe, reliable, production-grade control systems.
What they're looking for
- 7+ years of software engineering experience, with strong proficiency in Python and/or Rust, Go or C/C++
- Hands-on experience building telemetry ingest pipelines or distributed systems that handle high-volume, time-series data
- Familiarity with at least one async messaging system: Kafka, RabbitMQ or equivalent
- Exposure to IT or OT systems (SCADA, EMS, BMS, DCIM) and understanding of how data flows between them
- Direct experience with industrial telemetry protocols: Modbus TCP/RTU, DNP3, OPC-UA, BACnet, or SNMP
- Familiarity with time-series databases (InfluxDB, TimescaleDB, Prometheus) or industrial historian platforms (AVEVA PI / OSIsoft, Ignition)
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/ .
In this role, you will design real-time telemetry pipelines, integrate with datacenter power and compute systems, and implement control and optimization logic that dynamically adjusts workloads based on grid and infrastructure conditions. This role bridges IT and OT environments - turning raw operational data into safe, reliable, production-grade control systems.
As an early engineering...
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