Senior HPC and AI Cluster Administrator

About the role

Accenture Federal Services is seeking a Senior HPC and AI Cluster Administrator to support software and data solutions for federal customers. The role involves integrating supercomputers and AI clusters, enabling artificial intelligence and GPU computing solutions, and collaborating with scientific researchers, developers, and customers to improve workflows and create unique solutions. The administrator will work with HPC, OS, GPU compute, and systems specialists to architect, develop, and deploy large‑scale performance platforms.

Key Responsibilities

• Design, deploy, and maintain HPC/AI clusters.
• Manage AI job workflows using scheduling technologies such as Kubernetes.
• Support and maintain continuous integration and delivery (CI/CD) pipelines.
• Troubleshoot and resolve issues from bare metal through operating system, software stack, and application levels.
• Support research, development, and operational activities.

Basic Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• At least 5 years of experience in one or more of the following areas.
• Knowledge of HPC and AI solution technologies, including hardware, hypervisors, CPUs, and GPUs.
• Experience with job‑scheduling workloads and orchestration tools such as Slurm and Kubernetes.
• Excellent knowledge of Linux (Red Hat, Ubuntu), networking (routing, switching), ACLs, OS‑level security, and common protocols (TCP, DHCP, DNS, etc.).
• Experience with multiple storage solutions such as Lustre, GPFS, ZFS, and XFS, and familiarity with emerging storage technologies.
• Proficiency with automation and configuration‑management tools (Python, Bash) within GitOps workflows.
• Knowledge of networking protocols like InfiniBand and Ethernet.
• Experience with private‑cloud platforms (e.g., VMware, Hyper‑V, KVM, OpenShift, Nutanix).
• Familiarity with public‑cloud platforms (AWS, Azure).
• Must possess and maintain required DoD 8140 certifications.

Preferred Qualifications

• Knowledge of GPU architectures, time‑slicing, and Multi‑Instance GPU (MIG).
• Experience with container orchestration technologies such as Kubernetes and Docker.
• Experience designing and deploying AI workflow technologies (e.g., Apache Airflow, Prefect, Dagster).
• Background with RDMA fabrics (InfiniBand or RoCE).
• Experience working in regulated industries and applying compliance requirements (e.g., DISA STIG, CIS).
• NVIDIA certifications (AI Infrastructure, AI Operations, AI Networking).
• VMware certifications (Certified Professional / Advanced Professional).

Clearance

An active TS/SCI federal security clearance is required.

Pay Range

$118,300 — $195,100 USD (base pay range for specified locations).