FluidStack
Software Engineer, Networking
Austin, TX$175k–$300kfulltimemidAdded today
About this role
Fluidstack seeks a Software Engineer for Networking to build infrastructure tooling and automation for massive-scale AI datacenter networks. You'll own fleet health monitoring, active debugging tools, repair automation, and network validation across rapidly expanding hyperscale sites.
What you'll do
- Design and build real-time network fleet monitoring, alerting, and health dashboards across multiple sites
- Develop active debugging tools including diagnostics linking, remote command execution, and failure visualization
- Automate the network repair pipeline from fault detection through parts management and return to service
- Build frameworks for network qualification and validation that gate new hardware and sites into production
- Own end-to-end reliability, scalability, and operational excellence of datacenter networks at 10+ GW scale
- Eliminate toil by systematizing manual troubleshooting processes across the fleet
What they're looking for
- Network engineering and datacenter fabric architecture
- Systems design and thinking across hardware/software layers
- Python or Go for infrastructure automation and tooling
- Monitoring and observability platforms (metrics, alerting, dashboards)
- Distributed systems debugging and diagnostics
- Incident response and operational discipline
- API design for fleet management
- Rapid learning in unfamiliar technical domains
Opens the official application on the employer’s site. No login required.
FluidStack
FluidStack builds AI infrastructure at scale, developing data centers and warehouse operations designed to handle gigawatt-capacity compute deployment. The company is hiring for warehouse engineers, data center operations specialists, product engineers, and people leaders to support rapid infrastructure expansion across multiple sites.
- Website
- fluidstack.io
Likely interview questions
- Walk us through how you'd approach diagnosing a mysterious network fault affecting a large fleet—what tooling would you build first?
- Describe a time you took a manual, toil-heavy process and automated it. What was your approach and what challenges did you encounter?