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Senior Data Center Engineer - AI Infrastructure (GPU & Liquid Cooling)

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AI Summary

Join a high-growth AI cloud infrastructure company as a Senior Data Center Engineer to design, deploy, and maintain next-gen GPU-based AI systems. Oversee hardware validation, liquid-cooled server infrastructure, and production-scale data center operations while troubleshooting complex AI workloads. Ownership of infrastructure scaling and hardware escalations in a pre-IPO environment with long-term growth potential.

Key Highlights
Hands-on work with next-gen NVIDIA GPUs (H100, H200, B200, GB200, Rubin) and high-density liquid-cooled infrastructure
Full ownership of deployment, production readiness, and troubleshooting for AI compute environments
Opportunity for rapid career growth into senior, lead, or site ownership roles with pre-IPO equity
Key Responsibilities
Deploy and maintain next-generation GPU-based AI infrastructure (NVIDIA H100, H200, B200, GB200, Rubin) in high-density, liquid-cooled environments
Oversee hardware validation, firmware/BIOS configuration, and troubleshooting for production-scale AI workloads
Lead rack deployment, liquid cooling system management, and critical hardware escalations in data center operations
Technical Skills Required
GPU Server Infrastructure Data Center Operations BMC/IPMI/Redfish
Benefits & Perks
Pre-IPO equity with strong long-term upside
Relocation support available within the US
Opportunity for career advancement into leadership roles
Nice to Have
Experience with Supermicro, CoreWeave, Oracle, Google Cloud, AWS, Microsoft Azure, Meta, Dell, HPE, Quanta, or ZT/AMD environments
Familiarity with InfiniBand/Mellanox networking
Background in lab infrastructure, server hardware diagnostics, or critical data center operations

Job Description


Data Center Engineer - AI Infrastructure

Santa Clara, CA | Relocation supported within the US | Full-time


I’m supporting a fast-scaling AI cloud infrastructure company that is building next-generation GPU infrastructure across the US and Europe.


They are hiring multiple mid-senior Data Center Engineer in Santa Clara to work hands-on across modern AI compute environments - deployment, production readiness, troubleshooting, GPU server hardware, liquid-cooled systems, and data centre operations.


This role is real a chance to join early, take real ownership, and help scale infrastructure that will support some of the most demanding AI workloads in the market.


What you'll get to do:

  • Work close to next-generation GPU platforms - H100, H200, B200, GB200, NVIDIA Rubin and beyond.
  • Hands-on exposure to high-density, liquid-cooled AI infrastructure
  • Join at a high-growth stage with genuine ownership and visibility
  • Pre-IPO equity and strong long-term upside
  • Relocation support available within the US
  • Opportunity to grow into senior, lead, site ownership or broader infrastructure leadership roles as the US team scales


Relevant backgrounds could include:

  • Data Center Technician / Engineer
  • GPU Infrastructure / Cluster Deployment
  • Server Hardware / Break-fix / Diagnostics
  • Lab Infrastructure / Hardware Validation
  • Critical Data Center Operations
  • Supermicro, NVIDIA, CoreWeave, Oracle, Google, AWS, Microsoft, Meta, Dell, HPE, Quanta, ZT/AMD or similar environments


Particularly interested in people with exposure to GPU servers, BMC/IPMI/Redfish, firmware/BIOS, InfiniBand/Mellanox, rack deployment, liquid cooling, high-priority hardware escalations or production data centre operations.


Interested in hearing more, drop your resume and apply or reach out direct to curtis@weengagegroup.com


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