GPU Clusters & ML Platforms
Engineers who build and operate large GPU clusters for training and inference: Kubernetes, Slurm, CUDA, NCCL and cluster reliability.
Industries · AI Infrastructure
Recruiting builders of AI infrastructure.
Recruiting engineers and technical leaders building AI infrastructure, from GPU clusters and ML platforms to the power, cooling and networking inside AI data centers.
GPU
Clusters and ML platforms
MW
Power and cooling at scale
IN
Hyperscale and GPU cloud teams
100%
Permanent, direct hire
Capabilities
From research to production.
Data Center Thermal & Liquid Cooling
Direct-to-chip liquid cooling, CDUs, cold plates, CFD and high-density rack thermal design for AI data halls.
Critical Power & Electrical
Medium-voltage distribution, UPS, switchgear, generators and redundancy design for hyperscale AI campuses.
AI Networking
InfiniBand, RoCE, optical interconnects and low-latency data center fabrics for GPU clusters.
Server & Hardware Systems
AI server platforms, PCIe and CXL, signal integrity, board design and OCP platforms, from EVT to mass production.
Data Center Construction & Delivery
Program managers, commissioning and MEP leaders delivering AI data center capacity on time and on budget.
Specialties we place
Permanent AI infrastructure hires across the stack.
The specialties we source and vet, from ML platform to applied research.
ML Infrastructure Engineer
GPU Cluster Engineer
Inference Platform Engineer
MLOps Engineer
Data Center Thermal Engineer
Liquid Cooling Engineer
Critical Power Engineer
AI Network Engineer
Hardware Systems Engineer
Data Center Program Manager
Build the engineering team behind your AI infrastructure build-out.
Start with a pilot engagement and scale into a permanent bench across GPU clusters and ML platforms, data center power and cooling, and AI networking.
Also explore: Energy & Power · Semiconductor & Thermal
Email a hiring brief How a Mindpool India search runs
Every engagement starts with a briefing call in which we pull apart the role rather than the job title: the problems the hire owns in their first two quarters, the systems and tooling they inherit, who they work alongside, and which parts of the specification are genuinely non-negotiable. That brief becomes the scorecard we screen against for this search, so shortlists are argued for on evidence instead of keyword overlap.
Sourcing is deliberately two-track. We approach specialists already known to our sector recruiters, and we run targeted, specialised outreach into the specific teams, programmes, and technologies where the relevant experience actually sits, including people who are not searching. Candidates are then interviewed by a recruiter who understands the domain, reference-checked on the claims that matter, and presented with a written rationale, compensation expectations, notice period, and location constraints already confirmed.
Permanent hiring only, what that means
Mindpool India is a permanent recruitment and executive search firm. Every placement is a full-time, direct-hire employee on your payroll, on your benefits, and inside your engineering culture. We do not provide contract, temporary, temp-to-hire, or contingent staffing, and we do not act as an employer of record. That single focus is why our process optimises for retention rather than time-to-fill alone.
- • Contingent permanent search, retained executive search, embedded RPO, or research-led talent mapping
- • Sector-specialist recruiters in AI infrastructure and ML platform, energy, and semiconductors
- • Roughly 21 days from brief to a signed offer on a typical search
- • 90-day retention guarantee on every permanent placement
- • India-wide coverage
Hiring managers can book a call or email a hiring brief and receive a calibrated shortlist with market context on availability and compensation before committing to a full search.