AI Principal Consultant (NVIDIA GPU platforms)

About the role

Computacenter is looking for an AI Principal Consultant to join its professional services team. We are looking for someone with the ability to work on a dynamic customer focused team that requires excellent interpersonal skills.

This role will be interacting with customers, partners and internal teams, to analyse, define and implement large-scale networking projects. The scope of these efforts includes a combination of data center scale networking, system design and automation.

Annual compensation: $175K - $220K USD

What you'll be doing

• 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 high-performance computing (HPC) and data center environments.
• Providing ethernet and routing expertise to customers during project delivery to design, architect and test ethernet networking solutions
• Designing, implementing, and optimizing high-performance fabric architectures for our data center and infrastructure projects.
• Support operational and reliability aspects of large-scale Al clusters, focusing on performance at scale, training stability, real-time monitoring, logging, and alerting.
• Your primary focus would be on understanding the Al workload and how it interacts with other parts of the system like 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.
• Implementing tasks related to network configuration and validation for data centers.
• Create methods of procedure and deployment documents.

• Embrace and support Computacenter’s mission and core values.

What you have

• Bachelor's degree in Information Technology, Engineering, or related field (or equivalent experience)
• Strong understanding of NVIDIA technologies including GX Cloud, NVIDIA Al Enterprise Al 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.

What you can expect

There’s so much more to enjoy about being at Computacenter than just having a rewarding career. In addition to offering competitive compensation plans and long-term career opportunities, we provide an attractive mix of benefit plans to contribute to your good health, future financial security, and peace of mind.

About us

Computacenter is a leading independent technology partner, trusted by large corporate and public sector organizations. We help our world-renowned customers to source, transform, and manage their IT infrastructure to deliver digital transformation, enabling users and their business. We’re a public company quoted on the London FTSE 250 (CCC.L) and employ over 21,000 people worldwide. In the US, we support some of the country’s best-known businesses with regional hubs in San Francisco and Irvine, CA; Norcross, GA; Plano, TX; and New York City; and Integration Centers in Silicon Valley and Atlanta.