Software Engineer, Facility Software Automation
About The Position
Fluidstack is seeking a Software Engineer focused on Facility Software Automation to join their team. The company's mission is to make humanity more free by building civilization-scale infrastructure for AI, ensuring that AI models are aligned with human goals. They are singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack from acquiring power to operating data centers. The Facility Software Automation Team plays a critical role in this by building automations that act on collected signals, compressing the time between a facility coming online and compute being available to customers. This involves ensuring the reliability of telemetry, scaling the platform as fast as the business grows, and maintaining customer trust through robust data collection and automation. The role involves building and owning production services across the telemetry collectors, ingesters, and automation stack. The engineer will design and evolve the messaging and time-series data layer, own the software infrastructure and data lake, and build APIs and dashboards for real-time telemetry surfacing. They will also drive the integration between device-level data streams and the automation API layer as the platform scales.
Requirements
- Built and owned production services that other teams depend on, and do not ship code you wouldn't want to be paged for at 3am.
- Treat telemetry pipeline health and data integrity as non-negotiable.
- Worked with high-throughput messaging systems (NATS, Kafka, or equivalent) at real scale and know where the failure modes show up before they hit production.
- Designed time-series data models in ClickHouse, TimescaleDB, or a comparable system, and can walk through the tradeoffs between write throughput, query performance, and schema evolution.
- Instrumented production services with observability tooling (Prometheus, Grafana, or equivalent) and treat metrics and alerting as part of shipping, not an afterthought.
- Worked across the full signal chain from device to database, and design pipelines backwards from device-level constraints so they're correct by design.
- Move toward a broken pipeline in production with urgency and without drama.
Nice To Haves
- Kubernetes and ArgoCD for production service deployment.
- ClickHouse schema design for time-series workloads.
- Compute or critical infrastructure telemetry environments.
- Real-time dash-boarding with Grafana or equivalent.
Responsibilities
- Build and own production services across the telemetry collectors, ingesters, and automation stack that every downstream Automation and Operations team depends on.
- Design and evolve the messaging and time-series data layer that ingests real-time telemetry from device signals across the global compute fleet.
- Own the software infrastructure and data lake underpinning the platform, setting the data contracts and engineering standards other teams build against.
- Build the APIs and dashboards that surface telemetry to commissioning, operations, and leadership teams in real time.
- Drive the integration between device-level data streams and the automation API layer as the platform scales to new sites.
Benefits
- Offers equity in the form of stock options.
- Commitment to pay equity and transparency.
- Equal Employment Opportunity Employer.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
