Reliability Engineer - Large-Scale AI & HPC Systems

PVH (Tommy Hilfiger/Calvin Klein)

San Francisco (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Fluidstack is seeking a Data Center Operations professional to own reliability for customer workloads and coordinate across teams. You’ll debug across the full stack and manage incident communications with depth and clarity, driving fixes from production through engineering.

This role suits those with experience supporting HPC/cloud/AI labs and a track record of preventing repeat issues. You will push internal teams to address root causes and maintain SLAs while operating at scale beyond a

Qualifications

You’ve supported large-scale compute customers (HPC, cloud, or AI labs) at a technical level.
You debug distributed systems methodically across layers you don’t own.
You have written incident updates customers trusted more after reading.
You push internal teams to fix causes, not symptoms, and follow up until they do.

Responsibilities

Own reliability for named customer workloads: their clusters, their SLAs, their escalations.
Debug across the full stack, hardware to fabric to scheduler, when a training run degrades.
Run customer‑facing incident communication with technical depth and no spin.
Turn recurring customer pain into engineering fixes with the production teams.