Senior GPU Systems Engineer for Enterprise AI Clusters

RPMGlobal; Bethesda, Northern (MD, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

RPMGlobal seeks a senior engineer to design, deploy, and optimize GPU clusters for enterprise AI in a secure government environment in Bethesda, MD. You will work with AI/ML engineers to integrate GPUs with Linux, tune drivers, and ensure compliance with DoD security standards.

Responsibilities include building automation tooling and maintaining architectural docs while collaborating with cross‑functional teams on performance improvements.

Qualifications

• Active TS/SCI with the ability to obtain a CI Polygraph.
• Bachelor's degree with substantial experience in the field.
• Experience managing NVIDIA GPU data center platforms (DGX/HGX/H200/H100/L4s).
• Strong Linux knowledge (RHEL/Ubuntu/Oracle/Rocky).
• Knowledge of DoD 8570.11 IAT security requirements.

Responsibilities

• Design, configure, and maintain GPU clusters.
• Collaborate with a multidisciplinary team to optimize architectures for performance and security.
• Integrate GPUs with Linux-based systems for AI workflows.
• Tune GPU drivers for reliability and performance.
• Analyze performance and implement optimization strategies.
• Develop tooling with Bash, Python, Ansible, and Salt.
• Maintain architecture docs and Linux best practices.
• Support DoD security compliance activities.

Skills

Linux

GPU clusters

Performance tuning

Scripting Bash/Python

CI/CD collaboration

DoD security standards

Education

Bachelor's degree

Master's degree

PhD

Tools

Kubernetes

Argo

Airflow

Kubeflow

Prometheus

Grafana

Slurm

LSF

GPU virtualization

Cloud computing

Job description

RPMGlobal seeks a senior engineer to design, deploy, and optimize GPU clusters for enterprise AI in a secure government environment in Bethesda, MD. You will work with AI/ML engineers to integrate GPUs with Linux, tune drivers, and ensure compliance with DoD security standards.

Responsibilities include building automation tooling and maintaining architectural docs while collaborating with cross‑functional teams on performance improvements.