Which seats do you open first for a new cluster?

Network and storage, since their candidate pools are the smallest, then systems, with cluster operations run in parallel as contract-to-hire. Our guide to hiring a GPU cluster operations team covers where each seat's candidates come from and what we screen for.

Do you cover both the compute and the facility side?

Yes. Platforms that operate their own sites need facilities, controls and commissioning coverage as well as compute engineering, and one hiring plan across both is the point of the practice.

How do you compete with larger platforms on compensation?

By reporting the expectations we hear and then working the levers you control: hardware access, scope, ownership, remote policy and equity structure.

Can you support multi-site growth?

Yes, through a site launch or team build engagement sequenced against each site's milestone dates.

Who we serve

Recruiting for GPU Cloud and Compute Platforms

We recruit the team that brings a GPU cluster online and keeps it running: InfiniBand and RoCE network engineers, parallel file system storage engineers, Slurm and Kubernetes systems engineers, and the cluster operations technicians who rack, cable and swap hardware. We also recruit fleet, capacity, reliability and solutions engineers as the platform grows.

Book a Hiring Diagnostic Request a Talent Market Map

Hiring situations

A new cluster goes live in weeks and the network, storage and systems seats are still open.
Fleet growth is outpacing the operations team.
Utilization and capacity allocation need a dedicated owner.
Customer commitments require reliability ownership and on-call design.
Customer onboarding depends on engineers who can hold an infrastructure conversation.

Roles

Fleet operations and hardware deployment engineers
Fabric and network engineers
Capacity and scheduling engineers
SREs and production engineers
Solutions and forward-deployed engineers
Critical facilities teams where the platform owns its own sites

Engagements

Engagement types

Fixed-fee research or a fixed monthly search retainer. We commit to the work, and we do not guarantee a hire.

Talent Intelligence Sprint

Fixed-scope market read before headcount is committed. See homepage engagement scopes.

Embedded Search Sprint

A recruiter inside your process for a defined sprint. See homepage engagement scopes.

Site Launch or Team Build

Monthly hiring capacity sequenced against a milestone plan.

Fractional Talent Partner

Recruiting leadership and systems support tied to your hiring plan.

FAQ

Questions

Which seats do you open first for a new cluster?: Network and storage, since their candidate pools are the smallest, then systems, with cluster operations run in parallel as contract-to-hire. Our guide to hiring a GPU cluster operations team covers where each seat's candidates come from and what we screen for.
Do you cover both the compute and the facility side?: Yes. Platforms that operate their own sites need facilities, controls and commissioning coverage as well as compute engineering, and one hiring plan across both is the point of the practice.
How do you compete with larger platforms on compensation?: By reporting the expectations we hear and then working the levers you control: hardware access, scope, ownership, remote policy and equity structure.
Can you support multi-site growth?: Yes, through a site launch or team build engagement sequenced against each site's milestone dates.

Hiring a GPU cluster team

The four seats, where their candidates come from, screening questions and posted pay.

Network and fabric recruiting

InfiniBand and high-performance Ethernet engineering.

Site launch and team build

Staff a new site or region against a milestone schedule.

Other segments

Next step

A short hiring diagnostic covers the role scope, the local market and pay, and ends with a recommendation.

Book a Hiring Diagnostic Request a Talent Market Map