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/.
About the RoleIn 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 hire, you’ll shape system architecture, own projects end-to-end, and work closely across teams to translate real-world constraints into scalable software.
Key ResponsibilitiesBuild software modules that interact with datacenter and industrial power systems.
Architect and implement software components that integrate with power management, instrumentation, and telemetry systems used in datacenter infrastructure.
Ensure high safety, reliability, and correctness when interacting with real-world energy assets and critical facilities.
Collaborate across teams to deliver end-to-end solutions.
5+ years of software engineering experience with a background in Python, Rust, Java, or similar.
Experience with telemetry/data pipelines or distributed systems.
Exposure to IT or OT systems (SCADA, EMS, DCIM) a plus.
Familiarity with optimization algorithms, control systems, or energy management is beneficial.
Experience with Kubernetes, containerized deployments, or HPC scheduling.
Background in power systems, energy markets, microgrids, or datacenter infrastructure.
Familiarity with industrial telemetry protocols
Make an impact. Solve the AI power bottleneck and shape how data centers scale sustainably.
Join a world-class team of AI, cloud, software, and energy experts in a collaborative, low-ego environment.
Build from 0→1. Influence strategy, GTM, org design, and customer/investor engagement from day one.
Competitive pay + equity. Stock options let you share in the value you help create.
Comprehensive benefits, including medical, dental, vision, and 401(k) matching.
Flexible location. Work from D.C., Boston, or the Bay Area, with 1 WFH day/week.
Backed by top investors, including Radical Ventures and NVIDIA.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.
Emerald AI strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees.
Inclusiveness is core to our culture at Emerald AI, and we strive to ensure you get the most from your interview experience. Emerald AI makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.
