AI Infrastructure Engineer - GPU Clusters & Automation

Accenture; Walnut Creek (CA); On-site; USD 94,000 - 266,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture’s Global AI Infrastructure team seeks experts to design and operate accelerated-computing infrastructure across on‑prem, cloud, and hybrid environments. You’ll deploy GPU clusters, integrate with security and governance, and build reusable automation tools to run AI training and HPC workloads.

The role emphasizes scalability, reliability, and cost management, with extensive collaboration across the technology ecosystem. Travel may be required 25%–60% depending on client needs.

Qualifications

• Minimum of 5+ years designing, deploying, and managing accelerated-computing infra across on‑prem, cloud, and hybrid environments for large clients.
• Minimum of 5+ years hands‑on experience with GPUs, DPUs, CPUs, high‑bandwidth networks, and AI storage architectures.
• Minimum of 5+ years experience with cluster management, workload scheduling, orchestration, observability, and automation (Kubernetes, Slurm, Run:ai).
• Minimum 6 months hands‑on experience with Claude Code, AI automation tools, Terraform, Ansible, Python, and Bash scripting.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Design and implement accelerated‑computing infra solutions aligned to architecture, roadmaps, performance, scalability, resiliency, and governance.
• Deploy, configure, and operate GPU clusters across bare‑metal and containerized environments using schedulers and Kubernetes for AI workloads.
• Integrate infra platforms with enterprise systems, data platforms, security and governance controls.
• Build reusable tools, scripts, self‑service capabilities, and automation workflows for provisioning, configuration, validation, capacity planning, monitoring, and incident management.
• Establish repeatable processes for cluster provisioning, patching, and lifecycle management.
• Perform and automate GPU/compute/storage/network benchmarking and diagnose performance issues.
• Develop architecture diagrams, runbooks, and support documentation.
• Provide troubleshooting and optimization for GPU clusters with emphasis on availability, resiliency, energy efficiency, and cost management.

Skills

Infra design

Kubernetes

Slurm

Run:ai

Python

Bash scripting

Terraform

Ansible

GPU clustering

Education

Bachelor's degree or equivalent (minimum 12 years)

Tools

Base Command Manager (BCM)

NGC

NCCL

CUDA-X

NVAIE

Dynamo

OpenAPI

JSON/YAML

Job description

Accenture’s Global AI Infrastructure team seeks experts to design and operate accelerated-computing infrastructure across on‑prem, cloud, and hybrid environments. You’ll deploy GPU clusters, integrate with security and governance, and build reusable automation tools to run AI training and HPC workloads.

The role emphasizes scalability, reliability, and cost management, with extensive collaboration across the technology ecosystem. Travel may be required 25%–60% depending on client needs.