Who we serve

Recruiting for AI Infrastructure Companies

Critical Path Hiring recruits the infrastructure teams inside AI companies: GPU and HPC engineering, distributed systems, platform engineering, SRE, observability, MLOps, model serving, inference performance and forward-deployed engineering. We separate those markets before sourcing, because one requisition written across all of them is a common reason an AI hiring plan stalls.

The hiring conditions we are called into

  • A cluster or capacity commitment lands before the operating team exists.
  • Research or product teams are maintaining infrastructure they should not own.
  • Reliability moved from an internal target to a customer commitment.
  • Inference cost and latency need an owner with authority over the serving stack.

Roles we recruit here

  • GPU and HPC cluster engineers
  • Distributed systems and storage engineers
  • Platform engineers and SREs
  • MLOps, LLMOps and model serving engineers
  • Inference performance and cost engineers
  • Forward-deployed and solutions engineers

FAQ

Questions buyers in this segment ask.

Do you recruit AI researchers?
No. We recruit the infrastructure layer that makes research and products run. Research and modeling hires are a different market and we say so rather than taking the search.
How fast can a search start?
Calibration happens first, and outreach follows once the scorecard and compensation band are agreed. Outcomes depend on role clarity, market conditions and decision speed.
Can you help split one requisition into the right roles?
Yes, and it is often the first deliverable. Splitting platform, reliability, deployment and customer-facing work into separate scorecards changes the candidate pool immediately.

Tell us what you need to build.

A short hiring diagnostic covers scope, market reality and compensation, and ends with a recommendation.