AI Infra & GPU Compute Operations Engineer

Accenture; Beaverton (OR); On-site; USD 120,000 - 190,000; Full time

Job summary

Accenture seeks an experienced infrastructure engineer to design, deploy, and operate accelerated-computing environments supporting AI training, inference, and HPC workloads. You will work across on-premises, cloud, and hybrid setups, building reusable automation and runbooks.

The role emphasizes guiding capacity planning, performance validation, and scalable solutions with a focus on availability, resiliency, and cost management. Travel may be required.

Qualifications

• 5+ years designing, deploying, and managing accelerated-computing infra
• Experience with GPUs, DPUs, CPUs and high‑bandwidth networks
• Experience with cluster management and orchestration (Kubernetes, Slurm)

Responsibilities

• Design and implement accelerated-computing infrastructure aligned to architecture and governance
• Deploy and operate GPU-based clusters across bare-metal and containerized environments
• Integrate platforms with security, data, and governance controls
• Develop automation tools and runbooks for provisioning, monitoring, and incident response
• Provide guidance and optimize GPU clusters for AI workloads

Skills

Experience with accelerated-computing

Kubernetes

Python

Shell scripting (Bash)

Git/version control

Education

Bachelor's degree or equivalent

Tools

NVIDIA tools (NGC, CUDA)

Terraform

Ansible

Job description

Accenture seeks an experienced infrastructure engineer to design, deploy, and operate accelerated-computing environments supporting AI training, inference, and HPC workloads. You will work across on-premises, cloud, and hybrid setups, building reusable automation and runbooks.

The role emphasizes guiding capacity planning, performance validation, and scalable solutions with a focus on availability, resiliency, and cost management. Travel may be required.