Senior GPU Systems Engineer - Enterprise AI Clusters

Base-2 Solutions, LLC.; Bethesda, Northern (MD, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Base-2 Solutions, LLC. seeks a senior systems engineer to support enterprise AI mission systems by designing, developing, and optimizing GPU clusters in a secure government environment.

You will collaborate with AI/ML engineers to integrate GPUs with Linux-based systems, optimize drivers for reliability and performance, and maintain tooling and documentation across Linux environments. A successful candidate will have extensive Linux expertise, experience with NVIDIA DGX/HGX GPUs, and U.S.

Qualifications

• Active TS/SCI with ability to obtain a CI Polygraph.
• Experience managing NVIDIA GPU data center platforms (DGX, HGX, H200, H100, L4s).
• Strong Linux expertise across major distros.
• DoD 8570.11 IAT Level II certification or higher.
• U.S. citizenship required.

Responsibilities

• Design, configure, and maintain GPU clusters.
• Collaborate with multidisciplinary teams to optimize architectures for performance and power efficiency.
• Work with AI/ML engineers to integrate GPUs with Linux-based systems.
• Optimize GPU drivers for compatibility and performance.
• Analyze GPU performance and identify bottlenecks to improve efficiency.
• Develop tooling and documentation for Linux environments.
• Support secure government contracting and comply with security standards.

Skills

Security clearance

Team collaboration

Problem solving

Education

Bachelor's degree + 10 years experience

Master's degree + 10 years experience

PhD + 10 years experience

Tools

NVIDIA DGX/HGX/H200/H100/L4s

Linux (RHEL/Ubuntu/Oracle/Rocky)

Networking/storage hardware

Job description

Base-2 Solutions, LLC. seeks a senior systems engineer to support enterprise AI mission systems by designing, developing, and optimizing GPU clusters in a secure government environment.

You will collaborate with AI/ML engineers to integrate GPUs with Linux-based systems, optimize drivers for reliability and performance, and maintain tooling and documentation across Linux environments. A successful candidate will have extensive Linux expertise, experience with NVIDIA DGX/HGX GPUs, and U.S.