Customer 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

About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

About Fluidstack

We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don\'t share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.

We\'re singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.

We hire people who care deeply about this problem space. If that is you, please apply!

The Data Center Operations Team

Examples of key problems the team is working on

• Operate at the scale of a nation, not a building. The fleet you run will draw more power than some countries, on the way to 10s to 100s of GWs.
• Fly the plane while it's being built. Sites come online in pieces, and you keep the live ones running flawlessly while construction continues around them.
• Write the playbook, don\'t inherit it. No prior operations org has run at this speed and scale, so the standards you set become the standard.
  

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

• The below is a starting point. We always make space for exceptional people, so if you don\'t fit this role exactly, tell us where you would.
• 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've written incident updates customers trusted more after reading.
• You 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.

We are committed to pay equity and transparency.

Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Compensation Range: $173K - $224K