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RPMGlobal is hiring : Graphics Processing Unit (GPU) Engineer in Bethesda

RPMGlobal is hiring : Graphics Processing Unit (GPU) Engineer in Bethesda

MediabistroBethesda, MD, United States
30+ days ago
Job type
  • Full-time
Job description

Job Description

Base-2 Solutions is seeking a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize GPU clusters that power enterprise AI for the mission customers.

Primary Responsibilities

  • GPU Cluster Engineering : Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency, and feature requirements.
  • Operating System Integration : Work closely with AI / ML engineers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, reliability, and performance. Provide regular maintenance and updates.
  • Performance Optimization : Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.
  • Tooling and Automation : Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments. Leverage scripting and configuration tools such as Bash, Python, Ansible, Puppet, and Salt.
  • Compliance & Documentation : Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards.

Qualifications

  • Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field.
  • Additional years of experience may be considered in lieu of a degree.

  • 10+ years of relevant systems engineering experience.
  • Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, L4s).
  • Knowledge of enterprise server components (storage / network controllers, HBA, SSDs).
  • Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle, and Rocky).
  • Excellent problem-solving skills and the ability to collaborate within a team.
  • Candidate must, at a minimum, meet DoD 8570.11 - IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).
  • Clearance

  • TS / SCI clearance with Polygraph required or a TS / SCI and willingness to obtain a Polygraph prior to starting.
  • Preferred Qualifications

  • Experience with Kubernetes cluster management and AI / ML workflow orchestration (Argo, Airflow, and Kubeflow).
  • Familiarity with GPU virtualization and cloud computing.
  • Experience with Prometheus / Grafana for monitoring.
  • Knowledge of distributed resource scheduling systems (Slurm (preferred), LSF, etc.)
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