Note: The job is a remote job and is open to candidates in USA. Computacenter is a technology partner that helps organizations source, transform, and manage IT infrastructure. The AI Principal Consultant will design and implement large-scale networking and high-performance computing solutions, support the operation and reliability of large-scale AI clusters, and provide networking expertise across customer, partner, and internal teams.
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 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
Skills
- 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
Benefits
- Long-term career opportunities
- An attractive mix of benefit plans
Company Overview