Customer Reliability Engineer
Own reliability, SLAs, and escalations for customer AI/HPC workloads at massive scale. Debug full-stack issues (hardware to scheduler), deliver technical customer incident communications, and drive root-cause fixes with internal engineering teams.
About the job
Role Scope
- 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.
What We're Looking For
- Supported large-scale compute customers (HPC, cloud, or AI labs) at a technical level.
- Debug distributed systems methodically across layers you don't own.
- Written incident updates customers trusted more after reading.
- Push internal teams to fix causes, not symptoms, and follow up until they do.
Bonus
- GPU training workloads.
- InfiniBand or RoCE.
- Slurm or Kubernetes.
- NCCL debugging.
Skills
Distributed Systems Debugging, Hpc, Gpu Training, InfiniBand, Roce, Slurm, Kubernetes, Nccl
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