Senior GPU Systems Engineer: Enterprise AI Clusters (TS/SCI)

RPMGlobal; Bethesda (MD); On-site; USD 120,000 - 180,000; Full time

Job summary

RPMGlobal in Bethesda, MD is seeking a systems engineer to design, deploy, and optimize enterprise GPU clusters for DoD-grade AI mission systems. You will work with Linux, NVIDIA GPUs, high-speed networking, and secure configurations to support mission-critical workloads.

The role requires TS/SCI with CI poly eligibility, strong problem solving, and the ability to collaborate across cross-disciplinary teams to deliver reliable, scalable infrastructure.

Qualifications

• Active TS/SCI with ability to obtain a CI Polygraph.
• Bachelor's degree with 6+ years of experience, or equivalent.
• Experience managing NVIDIA GPU data center platforms (DGX/HGX/H200/H100/L4s).
• Knowledge of enterprise server components (storage/network controllers, HBAs, SSDs).
• Strong Linux exp (RHEL, Ubuntu, Oracle, Rocky).
• DoD 8570.11 IAT Level II certification or higher.
• U.S. citizenship required.

Responsibilities

• Design, configure, and maintain GPU clusters.
• Collaborate to optimize architectures for performance and power efficiency.
• Work with AI/ML engineers to integrate GPUs with Linux systems.
• Optimize GPU drivers for reliability and performance.
• Analyze performance, identify bottlenecks, and improve efficiency.
• Build debugging tools, profiling utilities, and performance analyses for Linux.
• Use Bash, Python, Ansible, Puppet, and Salt for tooling and automation.
• Maintain documentation and Linux best practices.
• Support ATO activities and ensure DoD security compliance.

Skills

Team collaboration

Problem solving

Linux expertise

Education

Bachelor's Degree

High School Diploma/GED

Associates Degree

Master's Degree

PhD

Tools

NVIDIA DGX/HGX/H200/H100/L4s

Kubernetes

Prometheus

Grafana

Slurm

LSF

Job description

RPMGlobal in Bethesda, MD is seeking a systems engineer to design, deploy, and optimize enterprise GPU clusters for DoD-grade AI mission systems. You will work with Linux, NVIDIA GPUs, high-speed networking, and secure configurations to support mission-critical workloads.

The role requires TS/SCI with CI poly eligibility, strong problem solving, and the ability to collaborate across cross-disciplinary teams to deliver reliable, scalable infrastructure.