Startups · AI

Field Data Center Hardware Engineer

Nebius · Birmingham, Alabama, United States · On-site

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About Nebius

Build and scale faster on the purpose-built AI cloud, engineered from silicon to API. Backed by Accel.

About the role

Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Experience deploying AI or HPC clusters at scale
  • Familiarity with automated provisioning or infrastructure lifecycle systems
  • Background in hardware qualification, burn-in testing, or factory validation
  • Experience supporting rapid infrastructure expansion
  • Exposure to ARM-based or heterogeneous compute environments
More about this role

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Nebius operates large-scale, GPU-dense AI infrastructure across mission-critical data center environments. As a Senior Delivery Deployment Engineer, you will own the end-to-end delivery, deployment, and production readiness of next-generation GPU platforms inside our data centers. This role sits at the intersection of hardware, Linux systems, and operational execution. You will lead on-site rack bring-up, validate NVIDIA-based AI systems, coordinate...

Read the full posting on Nebius's site ↗

Infrastructure

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