FluidStack
Reliability Engineer, R&D
Austin, TX$203k–$232kfulltimemidAdded today
About this role
Fluidstack is seeking a Reliability Engineer for their R&D team to own reliability engineering for large-scale AI compute infrastructure. You'll develop availability models, conduct cross-disciplinary failure analysis, and ensure designs meet uptime requirements before deployment at scale.
What you'll do
- Own reliability engineering for reference designs with availability modeling and weak-point identification
- Build and maintain RAM (Reliability, Availability, Maintainability) models with failure rates and redundancy quantification
- Lead FMEAs across engineering disciplines to catalog and eliminate failure modes
- Integrate field failure data from deployed fleet back into models and design iterations
- Analyze trade-offs between redundancy, cost, and availability targets
- Collaborate with hardware and software teams on infrastructure design decisions
What they're looking for
- Reliability engineering for infrastructure or complex hardware systems
- Availability and RAM modeling
- FMEA (Failure Mode and Effects Analysis) leadership
- Field data analysis and failure rate mining
- Weibull analysis
- Data center topology knowledge
- Maintenance strategy design
- Cross-functional technical communication
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
- Describe a time you built an availability model that directly influenced a major design decision—what was the outcome?
- Walk us through how you've led an FMEA that resulted in significant design changes across multiple engineering teams.