Senior AI Solutions Architect for NVIDIA GPU Platforms

Computacenter AG & Co. oHG

United States

Remote

USD 175,000 - 220,000

Full time

14 days+

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Job summary

Computacenter is seeking an AI Principal Consultant to design and implement distributed GPU networking for HPC and data center environments in the US. You’ll partner with leaders to deliver services aligned with Winning Together values and support AI workloads across multi-tenant clusters.

You will architect high-performance fabric, provide ethernet expertise, and ensure reliable operations with monitoring, testing, and scalable deployment. Strong NVIDIA and Kubernetes knowledge is essential.

Qualifications

  • Bachelor's degree in Information Technology, Engineering, or related field (or equivalent experience)
  • Strong understanding of NVIDIA technologies including GX Cloud, NVIDIA AI Enterprise AI Software, Base Command Manager, NEMO and NVIDIA Inference Microservices.
  • Deep understanding of Kubernetes-based GPU scheduling, GPU virtualization concepts (fractional GPUs, MIG awareness), and policy-driven resource allocation in multi-tenant clusters.
  • Experience optimizing cluster-level GPU utilization, workload throughput, and job latency using Run:AI in conjunction with NVIDIA GPU platforms.
  • Strong routing hands-on experience including BGP, VxLAN and EVPN
  • Cluster management technologies knowledge and BCM (Base Command Manager.)
  • Legally eligible to work in the United States
  • Experience with IT service delivery lifecycle and methodologies.
  • Demonstrated experience designing, deploying, or operating Run:AI-based GPU orchestration platforms in production environments.
  • Ability to design in-depth, complex technical solutions.
  • In-depth knowledge of IT Infrastructure technology and its business application.
  • Excellent communication and presentation skills, with the ability to present at large internal and external audiences and at board level.

Responsibilities

  • Partner with business leaders to deliver services that support company objectives and that are consistent with Winning Together values.
  • Design, architect, and implement distributed InfiniBand networks for HPC and datacenter environments.
  • Provide ethernet and routing expertise to customers during project delivery to design, architect and test ethernet networking solutions.
  • Design, implement, and optimize high-performance fabric architectures for data center and infrastructure projects.
  • Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, training stability, real-time monitoring, logging, and alerting.
  • Understand AI workload and how it interacts with networking, storage, deep learning frameworks, data cleaning tools, etc.
  • Work on multi-functional teams to provide ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU-enabled AI applications.
  • Implement tasks related to network configuration and validation for datacenters.
  • Create methods of procedure and deployment documents.
  • Embrace and support Computacenter's mission and core values.

Skills

NVIDIA GPU platforms
Kubernetes GPU scheduling
Networking (BGP, VxLAN, EVPN)
GPU orchestration (Run:AI)
IT service delivery

Education

Bachelor's degree in IT/Engineering

Tools

Run:AI
Base Command Manager (BCM)
NVIDIA GX Cloud
NVIDIA Inference Microservices

Job description

Computacenter is seeking an AI Principal Consultant to design and implement distributed GPU networking for HPC and data center environments in the US. You’ll partner with leaders to deliver services aligned with Winning Together values and support AI workloads across multi-tenant clusters.

You will architect high-performance fabric, provide ethernet expertise, and ensure reliable operations with monitoring, testing, and scalable deployment. Strong NVIDIA and Kubernetes knowledge is essential.

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