HPC Cloud Engineer

The role

You will support high-performance compute (HPC) infrastructure for compute-intensive mission workloads. This includes cluster operations, job scheduling, and GPU-accelerated workloads.

What you will do

• Support daily operation of HPC clusters
• Operate job schedulers and troubleshoot failures
• Support AWS ParallelCluster and/or AWS Batch provisioning
• Support industry GPU software configuration and acceleration
• Assist with CUDA/ cuDNN setup and troubleshooting
• Monitor CPU/GPU utilization across node pools
• Support integration of HPC compute with data pipelines
• Assist with AWS data services
• Support IaC for cluster provisioning
• Participate in sprints, standups, and retrospectives

Required qualifications

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

Nice to have

• CompTIA Security+ or equivalent
• Familiarity with Kafka, Airflow, Spark
• Familiarity with industry GPU hardware and/or CUDA/cuDNN
• Working knowledge of AWS ParallelCluster/AWS Batch or ability to learn quickly
• Experience with AWS data services (EMR, Redshift, Glue)
• AWS certifications
• Bachelor’s in CS, Engineering or related field
• Experience in classified environments (NIPR, SIPR, JWICS)
• Top Secret clearance

Benefits

• hands-on experience
• certifications
• industry training

Before you apply

• Active Secret clearance required
• Applicants in the US must have work authorization that does not now or in the future require sponsorship of a visa
• Candidates currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible

About the company

Accenture Federal Services is a technology company within global Accenture that helps the US federal government. It is a Glassdoor Top 100 Best Place to Work.