For employers
AI infrastructure recruiter
GPU cloud, fabric, platform, SRE and MLOps seats are filled from pools small enough to enumerate. We build that map, run the evidence-based screen, and hand you a shortlist plus the research it came from.
Coverage
Role families
These are separate pools with separate evidence, and writing one requisition across them stalls the search.
GPU cloud & fleet
GPU infrastructure engineers, fleet reliability, cluster operations, capacity planning
Screened on what they did the last time a cluster degraded and the cause was outside their layer.
AI networking
InfiniBand and RoCE fabric engineers, network architects, datapath performance
A small, named pool. These people are found by mapping who has run a non-blocking fabric at scale, then approached directly.
Platform & SRE
Kubernetes platform engineers, scheduler and queueing owners, SREs with a real mandate
SRE hired as a title with no error-budget authority does not hold. We confirm the role has that authority before we screen candidates.
MLOps & training infrastructure
Training platform engineers, MLOps, data and checkpoint pipeline owners
Distinct from platform, and expensive to absorb into it. We separate the requisition before the search starts.
Facility interface
Critical facility engineers, liquid cooling, electrical capacity leads
The seat where compute meets the building. Hired from data center operations.
Method
Search process
Every engagement produces a written market map you keep, whether or not you hire through us.
Intake
What the cluster is, what breaks, who owns the layer above and below, and what the first ninety days require. This is where a mis-scoped requisition gets caught.
Named-pool mapping
Supply density by metro, the specific companies running comparable infrastructure, and the adjacent pools worth opening, HPC labs, trading infrastructure, telco datapath.
Evidence screening
Incident-level questions and operator references. Candidates arrive with written notes on what they have personally owned, so your engineers can go straight to technical questions.
Weekly written reporting
Pipeline, response rates, comp pushback and where candidates are turning down the range or the scope, so you can adjust before the search stalls.
What the engagement requires from you
- A named hiring sponsor who can make decisions
- An approved compensation range before outreach begins
- Feedback on submitted candidates within 48 hours
- Interview slots held open during the active search window
We commit to delivery standards, research depth, outreach volume, reporting cadence and response times. Outcomes depend on market conditions, scope, compensation and process speed.
Questions
Questions
- What makes an AI infrastructure recruiter different from a general tech recruiter?
- The pools are small enough to be mapped by name. No keyword search surfaces someone who has run a large fabric. We build a list of who has, then approach them. Generic sourcing stalls on these searches for that reason.
- Which roles do you recruit?
- GPU infrastructure and fleet reliability, InfiniBand and RoCE network engineering, Kubernetes platform and scheduler ownership, SRE, MLOps and training platform, plus the critical facility seats that keep the compute powered and cooled.
- How do you screen when you are not an engineer?
- With evidence questions written against the specific system, and with reference calls into the operator network. The strongest single question we ask: what did you personally do the last time the cluster was degraded and the cause was not in your layer? Candidates who only watched cannot answer it in detail.
- How does a search start?
- We start with an intake call and a research map of the companies and teams where the people we need work. Fabric and capacity planning searches take longer because few people have done that work.
- What does it cost?
- Engagement scopes are listed on the homepage, including talent intelligence, embedded search, fractional talent partnership, site launch work and selective executive search. A hiring diagnostic confirms the right scope before any agreement is signed.
- Do you work with startups as well as hyperscalers?
- Yes. For an early team the more valuable engagement is often the market report first, supply density, real comp and adjacent pools, so the first two hires are scoped from that data.
Hiring on the facility side too? Data center recruiting covers the operations, commissioning and construction seats.
Related
Related pages
Next step
Tell us the cluster, the stage and the open seats. The first call covers supply and comp for those seats.