Compute Fleet Reliability Engineer

Position: Compute Fleet Reliability Engineer at Fluidstack
Drive innovation in AI compute with Fluidstack as a Compute Fleet Reliability Engineer. Focus on optimizing GPU health metrics and automate repair workflows in a fast-paced environment.

As a key member of Fluidstack's production engineering team, you will take ownership of the compute fleet's health and ensure reliability s role involves designing automation for deployment and repair, as well as building a GPU qualification platform. Your work directly impacts the performance and functionality of our powerful AI infrastructure.

Key Responsibilities:

• Own compute fleet health metrics and alerting systems

• Automate failure detection, triage, and return to service

• Design GPU qualification processes for production readiness

• Manage firmware telemetry and fleet-scale log collection

• Ensure scalable and reliable operations for GPU infrastructure

Requirements:

• Experience in hardware failure modes and troubleshooting

• Proficiency in AI tooling and production automation

• Strong problem-solving skills and comfort with ambiguity

• Familiarity with metrics and alerting frameworks

• Comfortable carrying a pager for incident management

Utilize your expertise in automation, AI tooling, and GPU management to shape the future of compute at Fluidstack.
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