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Systems Engineer - HPC & GPU Infrastructure - TS​/SCI

Job in Bethesda, Montgomery County, Maryland, 20811, USA
Listing for: Xcelerate Solutions
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations, Unix/Linux
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below

Xcelerate Solution is looking for a mid-career Systems Engineer (Mid-Career) – HPC & GPU Infrastructure with a deep understanding of operating systems, hardware, Kubernetes, and NVIDIA GPU products. As a Systems Engineer (Mid-Career) – HPC & GPU Infrastructure, you will play a pivotal role in designing, developing, and optimizing GPU clusters for the IC community customers.

Location: Bethesda, MD. This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus.

Security Clearance: TS/SCI

Responsibilities :

  • HPC and GPU environment engineering:

    Contribute to the installation and maintenance of GPU and HPC hardware on-prem and in the cloud, providing insights into hardware performance to ensure efficient interaction with software components.
  • Performance Optimization:

    Analyze HPC/GPU cluster performance, identify bottlenecks, and develop strategies to enhance performance across various applications in Linux, addressing both hardware and software considerations. Regularly monitor and improve performance.
  • HPC/GPU tooling:

    Install and configure HPC/GPU job scheduling and workload management platforms such as Slurm, PBS , Apache Airflow, Kubernetes
  • Power Efficiency:

    Work on power management techniques to optimize GPU power consumption, ensuring efficient operation on both mobile and desktop Linux platforms. Continuously assess and enhance power efficiency strategies.
  • Testing and Validation:

    Design and execute tests to validate GPU performance and functionality on Linux, including stress testing, benchmarking, and debugging to ensure robust operation. Maintain and expand the testing suite.
  • Documentation:

    Maintain comprehensive technical documentation, including architectural specifications, code documentation, and Linux-specific best practices for GPU development. Keep documentation up to date with changes and improvements.
  • Industry Insight:

    Stay updated on the latest trends, innovations, and competitive landscapes within the GPU industry, contributing to research efforts and proposing Linux-specific approaches to GPU design and optimization. Share regular updates and insights with the team.
  • Due to the nature of the government contracts we support, US Citizenship is required.
  • TS/SCI clearance with Polygraph required or a TS/SCI and willingness to obtain a Polygraph prior to starting.
  • 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.
  • 4+ years of relevant systems engineering experience
  • 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.
  • Excellent problem-solving skills and the ability to collaborate within a team.
  • Strong communication skills for conveying technical information in a Linux context.
  • Proficiency with scripting languages such as Python or BASH.
  • Proficiency with automation tools such Ansible, Puppet, Salt, Terraform, etc.
  • 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).

Preferred Qualifications :

  • Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies in the field.
  • Experience with container technologies (Docker, Kubernetes)
  • Experience with Prometheus/Grafana for monitoring
  • Knowledge of distributed resource scheduling systems
  • Understand…
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