Engineering Manager, GPU Infrastructure

 Posted 2 hours ago
     
 $180K - $220K per year
  
10+ years experience
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AI Summary

Lead the end-to-end planning, deployment, and operational readiness of large-scale GPU clusters for AI and high-performance computing workloads. Manage cross-functional teams to ensure successful hardware integration, network fabric optimization, and automated infrastructure provisioning.

5C DATA CENTERS

Join the Future of Digital Infrastructure

Are you a passionate Engineering Manager, GPU Infrastructure 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.

 

 

JOB TITLE

Engineering Manager, GPU Infrastructure

DEPARTMENT

VP, Operations

LOCATION

Remote, USA

WORK ARRANGEMENT

Remote

TRAVEL REQUIREMENTS

N/A

SALARY RANGE

$180,000 – $220,000

 

Role Summary

We are seeking an experienced Engineering Manager, GPU Infrastructure to lead the planning, deployment, integration, and operational readiness of large-scale AI infrastructure environments. This role is responsible for delivering production-grade GPU clusters that support AI training, inference, and high-performance computing workloads across cloud, hybrid, and on-premises environments.

The ideal candidate brings deep technical expertise in GPU infrastructure, networking, storage, automation, and datacenter deployment, combined with strong program leadership and cross-functional execution skills. This leader will oversee end-to-end AI cluster deployment initiatives, including hardware integration, rack-and-stack operations, provisioning automation, performance validation, and operational handoff.

The role requires hands-on familiarity with modern AI infrastructure tooling and architectures, including Canonical MaaS, VAST Data storage platforms, and both InfiniBand and Ethernet-based GPU networking fabrics.

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.

 

What You Will Do (3-4 bullet points)

  • End-to-End GPU Cluster Deployment: Lead the deployment, logical integration, and validation of large-scale NVIDIA/accelerator GPU clusters, including rack-and-stack, burn-in testing, and operational turnover.
  • Network & Fabric Engineering: Oversee high-performance GPU interconnects (InfiniBand/Ethernet fabrics), optimizing spine-leaf architectures, RDMA, network telemetry, and overall performance.
  • High-Performance Storage Integration: Partner with storage teams to integrate, tune, and validate data platforms to guarantee high-throughput, low-latency data delivery for AI workloads.
  • Infrastructure Automation & Tooling: Drive cluster provisioning using Infrastructure-as-Code, Canonical MaaS, and observability tools to establish repeatable, automated deployment standards.
  • Cross-Functional Program Management: Partner with PMO, datacenter ops, and vendor teams to manage full-stack deployment programs while tracking milestones in systems like Jira.
  • Team Leadership & Standardization: Build and mentor high-performing engineering teams while creating operational documentation, standardized best practices, and scalable deployment frameworks.

 

 

What You Bring (3-4 bullet points)

  • Education & Experience: Bachelor's degree in Computer Science, IT, or related field, plus 10+ years of infrastructure engineering or datacenter deployment experience.
  • Leadership & Management: 5+ years leading deployment or operations teams focused on large-scale AI, HPC, or GPU infrastructure, with a proven track record managing complex cross-functional programs.
  • Technical Expertise: Hands-on experience deploying and operating large enterprise/hyperscale GPU clusters, alongside expert Linux systems administration skills.
  • Core Technologies: Proficiency with Canonical MaaS, data storage platforms, network architecture, and GPU server architectures.
  • Networking & Cluster Automation: In-depth knowledge of InfiniBand, Ethernet GPU fabrics, RDMA/RoCE networking, high-performance storage, and cluster provisioning automation.

 

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.

Career Growth

Build a rewarding career in one of the world's fastest-growing industries.

Industry Leadership

Help power the infrastructure behind AI and high-performance computing.

Entrepreneurial Culture

Your ideas matter - we empower employees to help shape our future.

Comprehensive Rewards

Competitive pay plus meaningful, lasting impact on the work you do.

 

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.

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