GPU Systems Engineer 3

RPMGlobal; Bethesda, Northern (MD, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

RPMGlobal in Bethesda, MD leads enterprise AI mission systems by designing, developing, and optimizing GPU clusters with emphasis on OS, hardware, GPU platforms, and high-speed networking in a secure government environment.

The role collaborates with AI/ML engineers to integrate GPUs with Linux-based systems, optimize drivers, analyze performance, and build tooling using Bash, Python, Ansible, Puppet, and Salt while maintaining comprehensive documentation and security compliance.

Qualifications

• Active TS/SCI with ability to obtain a CI Polygraph.
• Bachelor's degree with minimum six years of experience; three years may substitute for degree.
• Experience managing NVIDIA GPU data center platforms (DGX, HGX, H200, H100, L4s).
• Strong Linux expertise (RHEL, Ubuntu, Oracle, Rocky).
• DoD 8570.11 IAT Level II certification required; Level III acceptable.

Responsibilities

• Design, configure, and maintain GPU clusters.
• Collaborate with multidisciplinary teams to optimize architectures for performance and efficiency.
• Integrate GPUs with Linux-based systems for AI/ML workflows.
• Optimize GPU drivers for reliability and performance.
• Analyze GPU performance and bottlenecks; develop optimization strategies across hardware/software.
• Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux.
• Leverage Bash, Python, Ansible, Puppet, and Salt for tooling and automation.
• Maintain technical documentation and Linux best practices.
• Support ATO activities and ensure compliance with federal security standards.

Skills

CI Polygraph

TS/SCI clearance

Linux expertise

Bash

Python

Ansible

Puppet

Salt

DoD 8570.11 IAT Level II

US citizenship

GPU cluster design

Education

Bachelor's degree

High School Diploma/GED

Associates Degree

Masters degree

PhD

Tools

NVIDIA DGX

NVIDIA HGX

NVIDIA H200

NVIDIA H100

NVIDIA L4S

Kubernetes

Argo

Airflow

Kubeflow

Prometheus

Grafana

Slurm

LSF

Job description

Position Summary

Support enterprise AI mission systems by designing, developing, and optimizing GPU clusters, with deep focus on operating systems, hardware, GPU platforms, and high-speed networking in a secure customer environment.

Essential Duties and Responsibilities

• Design, configure, and maintain GPU clusters.
• Collaborate with a multidisciplinary team to define and optimize architectures for performance, power efficiency, and required features.
• Work closely with AI/ML engineers to integrate GPUs with Linux-based systems.
• Optimize GPU drivers for compatibility, reliability, and performance.
• Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.
• Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments.
• Leverage Bash, Python, Ansible, Puppet, and Salt for tooling and automation.
• Maintain technical documentation, architectural specifications, and Linux best practices.
• Support ATO activities and ensure compliance with federal security standards.

Required Qualifications

• Active TS/SCI with ability to obtain a CI Polygraph.
• Bachelor's degree with a minimum of six years of experience in the category field. Three additional years of experience may be substituted for the bachelor's degree.
• Experience managing NVIDIA GPU data center platforms, including DGX, HGX, H200, H100, and L4s.
• Knowledge of enterprise server components, including storage/network controllers, HBAs, and SSDs.
• Strong expertise with Linux distributions, including RHEL, Ubuntu, Oracle, and Rocky.
• Excellent problem-solving skills and the ability to collaborate within a team.
• Meet DoD 8570.11 IAT Level II certification requirements at a minimum; IAT Level III is also acceptable.
• U.S. citizenship is required due to the nature of the government contracts supported.

Preferred Qualifications

• Experience with Kubernetes cluster management and AI/ML workflow orchestration, including Argo, Airflow, and Kubeflow.
• Familiarity with GPU virtualization and cloud computing.
• Experience with Prometheus and Grafana for monitoring.
• Knowledge of distributed resource scheduling systems such as Slurm, LSF, or similar tools.

Required Education and Experience Equivalency

• High School Diploma/GED with 9 years of experience.
• Associates Degree with 9 years of experience.
• Bachelors' Degree with 6 years of experience.
• Masters' Degree with 6 years of experience.
• PhD with 6 years of experience.

RequiredCertifications

• DoD 8570.11 IAT Level II certification: Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP.

Required Security Clearance

• Active TS/SCI with ability to obtain a CI Polygraph.