GPU Infra Engineer — Automate & Scale Hyperscale AI Compute

Fluidstack; San Francisco (CA); On-site; USD 175,000 - 300,000; Full time

Benefits offered by this job

Health, dental, and vision insurance

Generous PTO policy

Retirement or pension plan

Job summary

Fluidstack is looking for a dedicated individual to take ownership of the health of our compute fleet in San Francisco. This role involves constructing metrics pipelines, managing GPU qualifications, and implementing automation processes to improve operational efficiency.

The ideal candidate has deep hardware knowledge, an instinct for failure modes, and a strong background in AI tooling and automation. The range of the base salary for this position is between $175,000 and $300,000.

Qualifications

• Strong understanding of hardware and failure modes.
• Proven experience in developing automation pipelines.
• Ability to work well under ambiguity.

Responsibilities

• Own the health of compute fleet end to end.
• Build metrics pipelines and unified health views.
• Design and expand the GPU qualification platform.

Skills

Hardware instinct

Automation tools

AI tooling fluency

Rapid learning ability

Education

Experience in GPU qualification

Tools

Prometheus

Grafana

Python

Job description

Fluidstack is looking for a dedicated individual to take ownership of the health of our compute fleet in San Francisco. This role involves constructing metrics pipelines, managing GPU qualifications, and implementing automation processes to improve operational efficiency.

The ideal candidate has deep hardware knowledge, an instinct for failure modes, and a strong background in AI tooling and automation. The range of the base salary for this position is between $175,000 and $300,000.