GPU Systems Engineer 3

RPMGlobal; Bethesda (MD); On-site; USD 120,000 - 260,000; Full time

Job summary

RPMGlobal is seeking a senior, security-cleared engineer to design, deploy, and optimize GPU clusters for enterprise AI mission systems. You will work with Linux-based environments, collaborate with AI/ML teams, and drive performance improvements across hardware and software layers.

Responsibilities include integration with NVIDIA data center platforms, driver optimization, tooling automation, documentation, and ensuring compliance with federal security standards.

Qualifications

• Active TS/SCI clearance with ability to obtain CI Polygraph.
• Bachelor's degree with six years experience or 9 years without a degree.
• Experience managing NVIDIA GPU data center platforms (DGX, HGX, H200, H100, L4s).
• Strong Linux expertise (RHEL, Ubuntu, Oracle, Rocky).
• IAT Level II/III certification requirements.
• U.S. citizenship required for government contracts.

Responsibilities

• Design, configure, and maintain GPU clusters.
• Collaborate to optimize architectures for performance and efficiency.
• Work with AI/ML engineers to integrate GPUs with Linux systems.
• Optimize GPU drivers for reliability and performance.
• Analyze GPU performance and remove bottlenecks across hardware/software.
• Build and maintain debugging tools and performance analysis software for Linux.
• Use Bash, Python, Ansible, Puppet, Salt for tooling/automation.
• Document architectures and Linux best practices.
• Support ATO activities and ensure DoD security compliance.

Skills

Linux administration

Python scripting

Bash scripting

Ansible

Puppet

Salt

Kubernetes

Prometheus

Grafana

Slurm

LSF

Education

Bachelor's Degree

High School Diploma / GED

Associates Degree

Master's Degree

PhD

Tools

NVIDIA DGX

HGX

H200

H100

L4s

DoD 8570.11 IAT certifications

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.