Cloud HPC Engineer | GPU & Slurm Specialist

Accenture-Federal-Services-2; Salt Lake City (UT); On-site; USD 90,000 - 140,000; Full time

Job summary

Accenture Federal Services seeks a Cloud Engineer / HPC to support Hill AFB, Utah, handling HPC clusters, GPU-accelerated workloads, and data pipelines. The role involves operating schedulers, configuring cloud services, and collaborating in an Agile environment.

The candidate should have 2 years in cloud/infrastructure engineering, exposure to HPC or GPU computing, and proficiency in Python, Bash, or PowerShell, with Security+ preferred.

Qualifications

• 2 years cloud or infrastructure engineering experience
• Exposure to HPC schedulers or GPU-accelerated computing
• Understanding of DevOps (CI/CD, IaC, GitOps)
• Experience with job schedulers (Slurm, PBS, etc.)
• Proficiency in Python, Bash, or PowerShell
• CompTIA Security+ or equivalent preferred

Responsibilities

• HPC Operations: Support daily operation of HPC clusters
• Operate job schedulers (Slurm, PBS, etc.) and troubleshoot failures
• Support AWS ParallelCluster and/or AWS Batch provisioning
• GPU & Accelerated Computing: Configure and accelerate GPU software; setup CUDA/cuDNN
• Data Platform & Infrastructure Support: Integrate HPC with data pipelines (Kafka, Airflow, Spark); support AWS data services (EMR, Redshift, Glue); assist with IaC for cluster provisioning (Terraform, Ansible)
• Agile Delivery & Collaboration: Participate in sprints, standups, retrospectives; document configurations, runbooks, troubleshooting procedures; collaborate with Senior Cloud Engineer / HPC and data teams

Skills

Cloud engineering

HPC scheduling

Python

Bash

PowerShell

DevOps (CI/CD, IaC, GitOps)

Security+ certification

Education

Bachelor’s degree in CS, Engineering or related field

Tools

AWS ParallelCluster

AWS Batch

Terraform

Ansible

Job description

Accenture Federal Services seeks a Cloud Engineer / HPC to support Hill AFB, Utah, handling HPC clusters, GPU-accelerated workloads, and data pipelines. The role involves operating schedulers, configuring cloud services, and collaborating in an Agile environment.

The candidate should have 2 years in cloud/infrastructure engineering, exposure to HPC or GPU computing, and proficiency in Python, Bash, or PowerShell, with Security+ preferred.