Compute Engineer, R&D

FluidStack
Austin, New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 202,000 - 241,000 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Extreme ownership","Velocity","First principles thinking","Automation","Root-cause analysis"]

Qualify next-generation compute hardware by hands-on testing GPUs, servers, and racks against deployment standards. Build and run benchmark suites to characterize performance, power, and thermals under real workloads, and perform stress, fault injection, and endurance runs to uncover weaknesses early. Author qualification reports that become fleet standards, documenting configs, firmware, and known issues, while partnering with vendors to ship fixes.

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FursaFursa
FluidStack
FluidStack
1 month ago

Compute Engineer, R&D

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Qualify next-generation compute hardware by hands-on testing GPUs, servers, and racks against deployment standards. Build and run benchmark suites to characterize performance, power, and thermals under real workloads, and perform stress, fault injection, and endurance runs to uncover weaknesses early. Author qualification reports that become fleet standards, documenting configs, firmware, and known issues, while partnering with vendors to ship fixes.
Location: Austin, New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

  • •Qualify next-generation compute hardware (GPUs, servers, racks) against deployment standards before the fleet sees them.
  • •Build and run benchmark suites to characterize performance, power, and thermals under real workloads.
  • •Break things on purpose using stress, fault injection, and endurance runs to find weaknesses early.
  • •Write qualification reports that become fleet standards, documenting configs, firmware, and known issues.

Pay and Benefits

Salary: USD 202,000 - 241,000 annually

Key Requirements

  • •Have hands-on experience qualifying, validating, or debugging server or GPU systems.
  • •Benchmark rigorously with reproducible methods and controlled variables.
  • •Root-cause hardware failures across silicon, firmware, and system levels.
  • •Script your work to automate processes rather than relying on checklists.
  • •Work with vendors to address bugs and ensure fixes are shipped.
Skills:Extreme ownershipVelocityFirst principles thinkingAutomationRoot-cause analysis
Tech Stack:GPUsServersRacksBenchmarkingFault injectionFirmwareBMCNVIDIAAMDLinux

Company Brief

FluidStack
Builds and deploys large-scale GPU cloud infrastructure for AI labs, enterprises and governments, providing high-performance AI training and inference capacity and rapid data-center deployment services.
Industry: Cloud Computing
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: New York, United States
Founded: 2017
Glassdoor
Glassdoor: 4.7
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