Software Engineer, Energy Management
Fluidstack3 days ago
Base Salary
$250k - $300k/yr
Responsibilities
- Build and own the facility-side energy control contract, including the protocol layer, gateway service, and third-party plant controller API.
- Design and evolve the messaging and state layer that calculates facility load intent from live telemetry and publishes it every second with a forecast.
- Own data contracts and engineering standards used by other teams across new sites and counterparties.
- Build the constraint execution path to determine what a facility can achieve and by when within seconds-level deadlines.
- Build production observability for per-stage latency, data staleness, watchdog health, and conformance.
- Design resilient interfaces, modules, failure domains, and tests for production services.
- Maintain data integrity across the signal chain from devices to databases and respond urgently to broken production pipelines.
Requirements
- Experience with high-throughput messaging systems such as NATS or Kafka at real scale.
- Experience designing time-series data models in ClickHouse, TimescaleDB, or comparable systems.
- Experience instrumenting production services with Prometheus, Grafana, or equivalent observability tooling.
- Experience building and owning production services relied upon by other teams.
- Ability to design systems deliberately, explain architectural tradeoffs, and refactor systems when the original design no longer fits.
- Experience working across the full signal chain from device to database with strong attention to data integrity.
- Bonus experience with Go, NATS, Redis, DNP3, Modbus TCP, OPC UA, Kubernetes, ArgoCD, SCADA, EMS, power plant controllers, and real-time dashboarding.
Benefits
- The company emphasizes pay equity and transparency.
- The role operates in a high-autonomy, high-urgency environment focused on large-scale AI infrastructure.
Tech Stack
Categories
About Fluidstack
Fluidstack provides on-demand GPU cloud infrastructure for AI training and inference, offering dedicated clusters of NVIDIA H200 and GB200 systems. The company sells compute capacity and managed clusters to AI labs, enterprises, and public-sector teams that need high-throughput workloads. Founded in 2017 and headquartered in New York, it is privately held.