Compute Engineer R&D

AI infrastructure company that builds and operates large-scale compute and data-center infrastructure for frontier AI workloads.

New York City, United States
About Fluidstack

Fluidstack deploys AI compute infrastructure, including custom data centers and large-scale compute capacity, for AI labs, governments, and enterprises.

View jobs by Fluidstack

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will qualify GPUs, servers, and racks against deployment standards. You will run performance, power, thermal, stress, fault-injection, and endurance testing, automate workflows, investigate hardware failures, and document qualification standards.

Requirements

  • Experience qualifying, validating, or debugging server or GPU systems
  • Benchmarking expertise using reproducible methods and controlled variables
  • Experience root-causing hardware failures across silicon, firmware, and system levels
  • Automation scripting skills
  • Experience working with vendors to resolve bugs
  • Knowledge of accelerator platforms, BMC, firmware, thermal characterization, power characterization, or Linux systems

Responsibilities

  • Qualify GPUs, servers, and racks against deployment standards
  • Build and run performance, power, and thermal benchmark suites
  • Conduct stress, fault-injection, and endurance testing
  • Write qualification reports documenting configurations, firmware, and known issues

Benefits

  • Equity
Compute Engineer R&D at Fluidstack | JobStash