indeed
AI Infrastructure Operations Engineer
Accenture
Cleveland, USA
Full-time
Onsite
USD 87400-266300 yearly
Discovered 1 weeks ago
Accelerated-computing infrastructureGPU clustersKubernetesSlurmRun:aiCluster management
Free
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Accelerated-computing infrastructureGPU clustersKubernetes
Role Overview
The Global AI Infrastructure team operates resilient, high-performance compute environments across cloud, on-premises, and hybrid deployments.
The team builds GPU and accelerated-computing infrastructure for AI training, inference, simulation, and high-performance computing workloads.
Key Skills for This Role
Accelerated-computing infrastructureGPU clustersKubernetesSlurmRun:aiCluster management
Full Job Posting
Company overview
Accenture provides professional services across digital, cloud, security, technology, and operations for clients in more than 120 countries.
Team and role overview
The Global AI Infrastructure team operates resilient, high-performance compute environments across cloud, on-premises, and hybrid deployments.
The team builds GPU and accelerated-computing infrastructure for AI training, inference, simulation, and high-performance computing workloads.
Key responsibilities
- Design and implement accelerated-computing infrastructure aligned with architecture, deployment, performance, scalability, resiliency, and governance requirements.
- Deploy and operate GPU clusters across bare-metal and containerized environments using workload schedulers and Kubernetes.
- Integrate platforms with enterprise systems, data platforms, security frameworks, service management, and governance controls.
- Build reusable tools, scripts, self-service capabilities, and automation workflows for infrastructure operations.
- Establish repeatable processes for provisioning, configuration, patching, capacity planning, monitoring, incident response, and lifecycle management.
- Benchmark and validate GPU, compute, storage, and network performance across distributed workloads.
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