Jobs · Information Technology · Maryland

Senior Systems Engineer - HPC & GPU Infrastructure

Base-2 Solutions · Bethesda, MD · 6 days ago
Information TechnologyFull-time

About the role

Base-2 Solutions is seeking a Senior Systems Engineer - HPC & GPU Infrastructure to design, develop, and optimize high-performance computing and GPU clusters supporting Intelligence Community customers. This is a 100% on-site position at the customer site in Bethesda, Maryland.

Responsibilities

  • Contribute to the installation and maintenance of GPU and HPC hardware on-premises and in the cloud, providing insight into hardware performance and interaction with software components.
  • Analyze HPC and GPU cluster performance, identify bottlenecks, and develop strategies to improve performance across applications in Linux, addressing hardware and software considerations.
  • Install and configure HPC and GPU job-scheduling and workload-management platforms, including Slurm, PBS, Apache Airflow, and Kubernetes.
  • Apply power-management techniques to optimize GPU power consumption on mobile and desktop Linux platforms and continuously assess power-efficiency strategies.
  • Design and execute Linux-based tests to validate GPU performance and functionality, including stress testing, benchmarking, and debugging; maintain and expand the testing suite.
  • Maintain comprehensive technical documentation, including architectural specifications, code documentation, and Linux-specific best practices for GPU development.
  • Monitor trends, innovations, and competitive developments in the GPU industry; contribute to research and propose Linux-specific approaches to GPU design and optimization.

Requirements

Location: Bethesda, MD • Work Type: On‑Site • Shift: First • U.S. Citizenship Required: Yes • Security Clearance: Active Top Secret/SCI • Referral Eligibility: Eligible

  • Relevant systems engineering experience meeting an applicable education and experience pathway in the equivalency section.
  • Expertise in operating system integration for Linux.
  • Strong understanding of computer hardware architecture, particularly as it relates to Linux systems.
  • Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments.

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