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GPU Systems Engineer 3

Base-2 Solutions
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Bethesda, MD, USA
Sep 20, 2026
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
    • 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
    • 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. •
    • 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. Required Certifications
  • 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.

Job ID

4430
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