Senior AI Compute Reliability Engineer

Fluidstack; New York (NY); On-site; USD 173,000 - 224,000; Full time

Job summary

Fluidstack is building civilization-scale AI compute infrastructure in the United States. We operate data centers, acquiring power, designing, and running them with teams across hardware and software.

You will own reliability for customer workloads, debug across stacks, and communicate incidents with technical depth to customers. Join a fast-moving team focused on delivering scalable, high-performance compute.

Qualifications

• Experience with large-scale compute customers (HPC, cloud, or AI labs) at a technical level.
• Ability to debug distributed systems across multiple layers.
• Experience writing incident updates trusted by customers.
• Familiarity with GPU training workloads and related interconnects (InfiniBand, RoCE).

Responsibilities

• Own reliability for named customer workloads and SLAs.
• Debug across the full stack from hardware to fabric to scheduler.
• Manage customer-facing incident communications with depth and clarity.
• Translate recurring customer pain into production fixes with engineering teams.

Skills

Distributed systems debugging

HPC/AI labs experience

Incident communications

GPU training workloads

Kubernetes

Slurm

NCCL debugging

InfiniBand

RoCE

Tools

Kubernetes

Slurm

NCCL

InfiniBand

RoCE

Job description

Fluidstack is building civilization-scale AI compute infrastructure in the United States. We operate data centers, acquiring power, designing, and running them with teams across hardware and software.

You will own reliability for customer workloads, debug across stacks, and communicate incidents with technical depth to customers. Join a fast-moving team focused on delivering scalable, high-performance compute.