Job Overview
Location
San Francisco, CA
Job Type
Full-time
Category
Software Engineering
Date Posted
June 19, 2026
Full Job Description
đź“‹ Description
- • As a Production Engineer, Compute (GPU) at FluidStack Inc., you will play a critical role in building and operating one of the world’s largest GPU fleets to power frontier AI infrastructure, directly enabling faster deployment of aligned AI systems that expand human freedom.
- • Day to day, you will own compute fleet health end to end by building metrics pipelines and unified health views, design and automate GPU repair and qualification workflows, manage Redfish/BMC tooling for firmware telemetry, and orchestrate live compute migrations at GW scale while ensuring reliability and scalability.
- • You will join a high-velocity, first-principles-driven team focused on rethinking every layer of the AI compute stack — from power acquisition and data center design to hardware operation — where ownership, speed, and technical excellence are paramount.
- • In this role, you will develop deep expertise in hyperscale GPU infrastructure, automation at the silicon-to-orchestration layer, and production reliability engineering, while shaping the operational foundation for civilization-scale AI compute.
🎯 Requirements
- • You treat toil as a bug and actively eliminate manual steps in repair workflows through automation.
- • You have an instinct for hardware and can reason about failure modes at the firmware and silicon level.
- • You are fluent with AI tooling including LLM APIs, MCP servers, and agentic frameworks, and use tools like Claude Code or Cursor daily.
- • You have shipped production automation that other teams depend on and are comfortable working in any language with AI coding assistance.
- • Bonus: Experience with hardware lifecycle management, RMA automation, BMC/Redfish/IPMI, GPU qualification/burn-in, workflow engines (Temporal/Cadence), or metrics pipelines (Prometheus/Grafana).
- • You move toward ambiguity, learn quickly in unfamiliar domains, and thrive in high-intensity, ownership-driven environments.
🏖️ Benefits
- • Competitive total compensation package (salary + equity) with a base salary range of $175,000 - $300,000 per year.
- • Retirement or pension plan aligned with local norms.
- • Health, dental, and vision insurance.
- • Generous PTO policy in line with local standards.
- • Opportunity to work on civilization-scale AI compute infrastructure with high autonomy and end-to-end ownership.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About FluidStack Inc.
FluidStack Inc. operates a distributed cloud platform that aggregates under-utilized GPUs in data centers and individual machines worldwide, renting them on-demand to AI researchers, startups, and enterprises for training and inference workloads. The company automates deployment, security, and billing, offering prices up to 80% below traditional hyperscalers while providing instant access to high-end NVIDIA A100, H100, and consumer GPUs through a single API and web console. Headquartered in London, FluidStack targets machine-learning engineers who need scalable, low-cost compute without long-term commitments, claiming thousands of active nodes and customers including Fortune 500 enterprises and leading research labs.
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