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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 split one requisition into separate scorecards before sourcing.

Hiring situations

  • 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

  • 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

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 on the first call.
How fast can a search start?
Intake first, then outreach once the scorecard and pay range are agreed. How fast it goes depends on how clearly the role is scoped and how quickly your team decides.
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.

Next step

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