FluidStack
Compute Engineer, R&D
Austin, TX$202k–$241kfulltimemidAdded today
About this role
Fluidstack is seeking a Compute Engineer for R&D to qualify and validate next-generation GPU and server hardware before deployment at scale. You'll design benchmark suites, conduct stress testing, root-cause failures, and document fleet standards for a company building AI compute infrastructure.
What you'll do
- Qualify GPUs, servers, and racks against deployment standards through hands-on testing
- Build and execute benchmark suites measuring performance, power consumption, and thermal characteristics
- Conduct stress testing, fault injection, and endurance runs to identify hardware weaknesses early
- Root-cause hardware failures across silicon, firmware, and system levels
- Write qualification reports documenting configurations, firmware, and known issues
- Automate testing workflows and collaborate with vendors on bug fixes
What they're looking for
- GPU and server system qualification/validation
- Benchmark design and rigor (reproducible methods, controlled variables)
- Hardware debugging and failure analysis
- Linux systems administration
- Scripting and test automation
- Thermal and power characterization
- BMC and firmware troubleshooting
- NVIDIA or AMD accelerator platform experience
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 a time you debugged a complex hardware failure spanning multiple layers—how did you isolate the root cause?
- How do you design benchmark suites that are reproducible and honest, and what controls do you put in place?