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Software Engineer, Compute (GPU)

Fluidstack· Production Engineering
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San Francisco, CA, New York, NY, Austin, TX, Seattle, WA$208k - $269k + equityFull-timePosted 3mo ago

About the role

Role focused on end-to-end compute fleet health, automation, and reliability for a large-scale GPU compute platform, with emphasis on firmware-level telemetry, qualification of new GPUs, and scalable repair/operational workflows.

Responsibilities

  • Own compute fleet health end to end. Build the metrics pipelines, alerting, and unified health view that tell you the true state of every GPU in production — across Kubernetes-orchestrated workloads and bare metal, at scale.
  • Turn deployment/repair into a pipeline, not a procedure. Build and own the automation that takes a compute failure from detection through triage, parts management, and return to service. No one-off scripts, no heroics.
  • Design and expand the GPU qualification platform. Burn-in, performance baselining, and NPI execution for every new GPU generation. You define what "good" looks like before hardware goes into production.
  • Own Redfish and BMC tooling. Firmware-level telemetry, log collection at fleet scale, and the low-level access layer that repair automation and health tooling depend on.
  • Own end-to-end reliability, scalability, and operation of the compute fleet at-scale. Fluidstack is building one of the largest GPU fleets in the world and that can only be accomplished with aggressive automation, tooling, and incident discipline.

Qualifications

  • You treat toil as a bug. Manual steps in a repair workflow are a backlog item, not a job description.
  • You have an instinct for hardware. You're comfortable reasoning about failure modes at the firmware and silicon level, not just the software stack above it.
  • You move toward ambiguity, not away from it. You walk into the fog, build the map, and explain it to everyone else.
  • You learn at a steep slope. You reach real competence in an unfamiliar domain fast. We value this over existing expertise.
  • You carry a pager without flinching. You run the incident, write the postmortem, fix the systemic cause, and move on.
  • You're fluent with AI tooling. LLM APIs, MCP servers, and agentic frameworks, and you drive Claude Code, Cursor, or similar every day.
  • You've shipped production automation that other teams depend on, and you're comfortable in any language using AI coding tools.
  • Bonus: Hardware lifecycle management and RMA automation. BMC/Redfish or IPMI tooling. GPU qualification or burn-in frameworks. Workflow and orchestration engines (Temporal, Cadence). Metrics and alerting pipelines (Prometheus, Grafana). Go or Python.

Skills

Required:Compute fleet health monitoringGPU qualification & burn-inRedfish/BIOS toolingAutomation/Workflow tooling
Nice to have:Programming languages (Go/Python)

Benefits

  • Competitive total compensation package (salary + equity).
  • Retirement or pension plan, in line with local norms.
  • Health, dental, and vision insurance.
  • Generous PTO policy, in line with local norms.
Last updated Oct 6, 2026. Interested? Apply on the company site.
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About Fluidstack

Fluidstack builds civilization-scale infrastructure for AI

Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.

AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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