Fluidstack builds and operates GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more.
Engineers at Fluidstack work on a wide variety of activities, including:
- Deploying clusters of 1,000+ GPUs and operating them with and for customers.
- Validating correctness and performance of underlying compute, storage, and networking infrastructure, and working with providers to optimize these subsystems.
- Migrating petabytes of data from public cloud platforms to local storage, as quickly and cost effectively as possible.
- Debugging issues anywhere in the stack, from “this server’s fan is blocked by a plastic bag” to “optimizing S3 dataloaders from buckets in different regions”.
- Building internal tooling to decrease deployment time and increase cluster reliability, including automation where the customer benefits clearly outweigh the implementation overhead.
We don't require prior experience with GPUs or AI/ML; we require a willingness to learn quickly, work hard, and obsess about customer success.
Apply here: https://jobs.ashbyhq.com/fluidstack/fb45b5dc-614e-40dd-ac5d-... or reach out to mike at fluidstack dot io