What are the responsibilities and job description for the Forward Deployed Engineer position at 795b0fc78924510bbd095de6fe06799b?
About Fluidstack
Fluidstack is building GPU supercomputers for top AI labs, governments, and enterprises. Our customers include Mistral, Poolside, Black Forest Labs, Meta, and more.
Our team is small, highly motivated, and focused on providing a world class supercomputing experience. We put out customers first in everything we do, working hard to not just win the sale, but to win repeated business and customer referrals.
We hold ourselves and each other to high standards. We expect you to care deeply about the work you do, the products you build, and the experience our customers have in every interaction with us.
You must work hard, take ownership from inception to delivery, and approach every problem with an open mind and a positive attitude. We value effectiveness, competence, and a growth mindset.
About the Role
Forward Deployed Engineers are a customer's trusted advisor and technical counterpart throughout the lifecycle of their AI workloads.
FDEs work across multiple areas of the organization, including software engineering, SRE, infrastructure engineering, networking, solutions architecture, and technical support.
FDEs are expected to have strong technical and interpersonal communication skills. You should be able to concisely and accurately share knowledge, in both written and verbal form, with teammates, customers, and partners.
As an FDE, your responsibilities are aligned with the success of our customers, and you'll work side-by-side with them to deeply understand their workloads and solve some of their most pressing challenges. A day's work may include :
- Deploying clusters of 1,000 GPUs using custom written playbooks; modifying these tools as necessary to provide the perfect solution for a customer.
- 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.
- Supporting customers as part of an on-call rotation, up to two weeks per month.
Focus
An ideal candidate meets at least the following requirements :
Exceptional candidates have one or more of the following experiences :
Interview Process
If your application passes the screening stage, you will be invited to a 15 minute hiring manager call. If you clear the initial phone interview, you will enter the main process, which consists of three 45 minute interviews : a technical deep dive, customer communications and debugging session, and culture fit interview.
Our goal is to finish the main process within one week. All interviews will be conducted virtually.
Benefits