Senior GPU Compute Solutions Architect

Computacenter AG & Co. oHG; Northern (KY); Hybrid; USD 190,000 - 230,000; Full time

Job summary

Computacenter is seeking a senior AI Infrastructure Architect to own the technical architecture for GPU and accelerated compute across data center programs. You will translate AI training, inference, HPC, capacity, and performance requirements into deployable solutions as a customer-facing leader within the AI infrastructure team.

You will design scalable GPU clusters, define platform sizing, BOMs, reference architectures, and work with solution architects, engineering, and delivery teams to

Qualifications

• 7+ years in data center compute or AI infra.
• Deep GPU/accelerated compute expertise.
• Experience with Linux, cluster deployment and performance analysis.
• Strong customer-facing architecture and documentation skills.

Responsibilities

• Lead technical discovery and architecture for GPU compute opportunities within AI Data Center programs.
• Design scalable GPU clusters and accelerated compute platforms across GPUs, CPUs, memory, PCIe, NICs/DPUs, NVMe, systems management, and supporting infrastructure.
• Translate workload, performance, capacity, resiliency, and growth requirements into platform sizing, configurations, reference architectures, BOMs, and technical standards.
• Evaluate and position current and next-generation GPU, server, and rack-scale compute platforms based on customer requirements.
• Define compute architecture dependencies across networking, storage, power, cooling, rack design, and physical deployment.
• Support cluster bring-up, firmware and software validation, benchmarking, performance optimization, troubleshooting, and production readiness.
• Partner with Network and Storage Solution Architects to ensure balanced end-to-end AI cluster performance.
• Work with Rack Integration, Fiber, Services Architecture, OEMs, Professional Services, and delivery teams to ensure designs can be integrated and deployed at scale.
• Support RFQs/RFPs, proposals, customer workshops, technical presentations, proofs of concept, and architecture reviews.
• Develop repeatable compute reference architectures and technical standards for large-scale AI Data Center programs.

Skills

GPU Compute

Data Center Architecture

HPC

AI Infrastructure

Linux

Kubernetes

Slurm

BOMs

Networking

Storage

Perf Tuning

Customer Engagement

Documentation

Cross-Functional Leadership

Tools

NVIDIA DGX

HGX

NVLink

NVSwitch

DPUs

NICs

Job description

Computacenter is seeking a senior AI Infrastructure Architect to own the technical architecture for GPU and accelerated compute across data center programs. You will translate AI training, inference, HPC, capacity, and performance requirements into deployable solutions as a customer-facing leader within the AI infrastructure team.

You will design scalable GPU clusters, define platform sizing, BOMs, reference architectures, and work with solution architects, engineering, and delivery teams to