GPU Compute Solutions Architect for AI Data Centers

Computacenter; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Computacenter is seeking a Senior Architect to own the technical architecture for GPU and accelerated compute infrastructure in AI data center programs. You will translate requirements into scalable designs and drive architecture across networking, storage, and power, partnering with sales and delivery teams.

This customer-facing role leads discovery, validation, and deployment readiness. With 7+ years in data center compute or related roles, you will shape reference architectures, BOMs, and

Qualifications

• 7+ years in data center compute, systems engineering, solution architecture, HPC, AI infrastructure, or related roles.
• Deep expertise in GPU / accelerated compute, server architecture, HPC, or large-scale compute infrastructure.
• Strong knowledge of GPU servers, CPU/GPU topology, memory, PCIe, NICs/DPUs, NVMe, firmware, BIOS/BMC, and systems management.
• Experience designing or supporting large GPU clusters, AI training/inference environments, HPC platforms, hyperscale infrastructure, or cloud compute environments.
• Understanding of high-density power, cooling, networking, and storage dependencies associated with AI compute platforms.
• Experience with Linux, cluster deployment, validation, performance analysis, and complex infrastructure troubleshooting.
• Strong customer-facing architecture, documentation, workshop, and presentation skills.

Responsibilities

• Lead technical discovery and architecture for GPU / Compute opportunities within strategic 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

Server architecture

HPC

Large-scale compute

Linux

Cluster deployment

Performance analysis

Documentation

Tools

Kubernetes

Slurm

Job description

Computacenter is seeking a Senior Architect to own the technical architecture for GPU and accelerated compute infrastructure in AI data center programs. You will translate requirements into scalable designs and drive architecture across networking, storage, and power, partnering with sales and delivery teams.

This customer-facing role leads discovery, validation, and deployment readiness. With 7+ years in data center compute or related roles, you will shape reference architectures, BOMs, and