Senior AI GPU Deployment Engineer

5C DATA CENTERS

Join the Future of Digital Infrastructure

Are you a passionate Senior AI GPU Deployment Engineer looking to make a meaningful impact? We're building the next generation of digital infrastructure powering hyperscalers, AI innovation, and high-performance computing across North America.

Role Summary

We are seeking an experienced Senior AI GPU Deployment Engineer to plan, deploy, and operationalize large-scale GPU AI infrastructure environments. This role delivers production-grade GPU clusters supporting AI training, inference, and high-performance computing workloads in our hyperscale data centers.

The ideal candidate brings deep technical expertise in GPU infrastructure, network fabrics, storage, automation, and Linux systems administration, combined with strong execution and troubleshooting skills.

How We Work at 5C

Our core values guide how we collaborate, make decisions, support one another, and serve our customers. We're looking for people who embrace them and help us build something great.

We're looking for a Senior AI GPU Deployment Engineer to join our Cloud Ops team in the United States. This person will share our company values and play an important role in supporting our continued growth.

What You Will Do

• Deploy integrate and validate multi-rack GPU-based compute platform deployments
• Deploy fabric configuration engines (Subnet Manager), observability platforms (UFM) and validate interconnect and fabric performance (nccl)
• Collaborate with network engineering team on topology implementation and optimization and storage engineering team on deployment and integration of high-performance storage environments supporting AI workloads (e.g. VAST Data)
• Configure settings and manage firmware updates for GPUs, NICs, BMC, BIOS and other components across large-scale clusters
• Contribute to infrastructure-as-code automation development for cluster provisioning and lifecycle management
• Contribute to improving and documenting repeatable deployment methodologies and scalable operational standards
• Query and analyze deployment outcomes using SQL for diagnostics and operational reporting

What You Bring

• Bachelor's degree in Computer Science, Engineering, IT, or related field (or equivalent experience)
• 5+ years of infrastructure engineering or datacenter deployment experience
• 3+ years deploying large-scale AI, HPC, or GPU infrastructure
• Hands-on experience deploying and operating large GPU clusters in enterprise or hyperscale environments
• Strong expertise with:
  • GPU architectures
  • InfiniBand (NDR/XDR) and Ethernet GPU fabrics (Spectrum-X)
  • NVLink, NVSwitch, and GPU-direct technologies
  • Canonical MaaS and automated provisioning systems
  • VAST Data or similar high-performance storage platforms
  • Linux systems administration for HPC/AI workloads
  • Infrastructure-as-Code and configuration management (Ansible)
  • Python, Shell, and SQL for infrastructure automation and diagnostics
• Strong understanding of:
  • RDMA, RoCE, and lossless Ethernet fabrics
  • Cluster automation, observability, and lifecycle management

Why Join 5C Data Centers?

At 5C, we believe great people build great companies. You'll build a rewarding career while helping shape the future of digital infrastructure - one of the fastest-growing industries in the world.

Life at 5C

We're more than a workplace - we're a team of builders, innovators, and problem-solvers united by a shared purpose: creating infrastructure that powers the technologies transforming our world. Your voice matters here, and we encourage fresh ideas at every level.

Ready to Apply?

If this opportunity sounds like the right fit for you, we'd love to hear your story. Apply today and discover what your future could look like at 5C Data Centers.

5C Data Centers is an equal opportunity employer.

We celebrate diversity and are committed to creating an inclusive environment where everyone can thrive. 5C evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, disability status, or any other legally protected characteristic.