Lead GPU Compute Production Engineering

Fluidstack; Austin (TX); On-site; USD 225,000 - 284,000; Full time

Job summary

Fluidstack is hiring for a Data Center Operations leadership role focused on running and scaling large GPU fleets. You will own fleet availability, define SLOs, and build automation to keep hundreds or thousands of nodes healthy while expanding capacity for AI workloads.

The role requires proven SRE leadership, experience with automation, and familiarity with GPU/ HPC environments; Kubernetes or Slurm familiarity is a plus.

Qualifications

• You've led SRE or production engineering teams running large fleets.
• You've moved an availability number and can explain exactly how.
• You've shipped automated remediation that retired a runbook.
• You hire and grow strong engineers, and they say so.
• Bonus: GPU or HPC fleets, Kubernetes or Slurm, hardware failure analytics, customer-facing reliability.

Responsibilities

• Lead the compute production engineering team keeping tens of thousands of GPUs serving customers.
• Own fleet availability for compute: define the SLOs, build the tooling, and move the number.
• Build automation for the node lifecycle, provisioning, health checks, remediation, return to service, without human touch.
• Set the on-call and escalation model that keeps response sharp without burning the team out.

Skills

Led SRE teams

Availability engineering

Automated remediation

Talent development

GPU fleets

Kubernetes

Slurm

Hardware failure analytics

Customer-facing reliability

Job description

Fluidstack is hiring for a Data Center Operations leadership role focused on running and scaling large GPU fleets. You will own fleet availability, define SLOs, and build automation to keep hundreds or thousands of nodes healthy while expanding capacity for AI workloads.

The role requires proven SRE leadership, experience with automation, and familiarity with GPU/ HPC environments; Kubernetes or Slurm familiarity is a plus.