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Data Center Engineer - AI Infrastructure (Riga, Latvia)

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AI Summary

Join a high-growth AI cloud infrastructure company scaling next-generation GPU environments across the US and Europe. Take ownership of deploying, troubleshooting, and maintaining modern AI compute infrastructure. Work hands-on with cutting-edge GPU servers, liquid-cooled systems, and data center operations.

Key Highlights
Hands-on role with next-generation GPU platforms (H100, H200, B200, GB200, NVIDIA Rubin)
Opportunity to join early, take ownership, and grow into leadership roles as the team scales
Relocation support available within the US; pre-IPO equity and strong long-term upside
Key Responsibilities
Deploy and maintain next-generation GPU infrastructure (H100, H200, B200, GB200, NVIDIA Rubin)
Troubleshoot and resolve hardware and software issues in high-density, liquid-cooled AI compute environments
Ensure production readiness and operational stability of AI data center infrastructure
Perform server hardware diagnostics, break-fix, and firmware/BIOS management
Manage BMC/IPMI/Redfish, InfiniBand/Mellanox, and rack deployment tasks
Handle high-priority hardware escalations and critical data center operations
Technical Skills Required
GPU Infrastructure Data Center Operations Server Hardware Troubleshooting
Benefits & Perks
Pre-IPO equity
Relocation support within the US
Nice to Have
Exposure to Supermicro, NVIDIA, CoreWeave, Oracle, Google, AWS, Microsoft, Meta, Dell, HPE, Quanta, ZT/AMD environments
Experience with liquid cooling systems in data center environments
Familiarity with production data center operations and hardware validation

Job Description


Data Center Engineer - AI Infrastructure

Riga, Latvia | 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 junior-mid-senior Data Center Engineer in Riga 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 [email protected]


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