Fluidstack
Customer Reliability Engineer
$173K–$224K
San Francisco, CA +3 · On-site · Full-time · Posted Jul 17, 2026
- Location
- San Francisco, CA
New York, NY
Austin, TX
Seattle, WA - Experience
- 5+ years of applied industry experience.
About the job
Own reliability for customer compute workloads, investigate degradation across the infrastructure stack, communicate incidents, and drive engineering fixes for recurring issues.
What you'll do
- Own reliability, SLAs, and escalations for named customer clusters and workloads.
- Debug training-run issues across hardware, fabric, and scheduler layers; lead customer-facing incident communication.
- Work with production engineering teams to resolve recurring customer problems at their root cause.
What they ask for
- 5+ years of applied industry experience.
- Technical support experience with large-scale compute customers in HPC, cloud, or AI labs.
- Ability to methodically debug distributed systems across layers and drive root-cause fixes.
- Experience writing trusted customer incident updates.
Nice to have
- GPU training workloads; InfiniBand or RoCE.
- Slurm or Kubernetes; NCCL debugging.
Pay
$173K – $224K (base salary)
Tools
HPC, InfiniBand, RoCE, Slurm, Kubernetes, NCCL
AI focus
Reliability support for customer AI training workloads and compute infrastructure.
Model-written summary · the original posting is authoritative