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Urgent! Graphics Processing Unit (GPU) Engineer - Top Secret/SCI Job at SUNAYU in Bethes Job Opening In Bethesda – Now Hiring Mediabistro

Graphics Processing Unit (GPU) Engineer Top Secret/SCI Job at SUNAYU in Bethes



Job description

Location: Bethesda, MD

Category: Systems Engineer

Travel Required: No

Remote Type: Onsite

Clearance: Top Secret/SCI

Sunayu, LLC is looking for 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.



This is a 100% on-site position.

All work must be performed at the customer site in Bethesda at the Intelligence Community Campus.



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.

Basic Qualifications
  • Bachelor's or higher degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with at least 12 years of related technical experience.

    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 8140/8570- 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
  • 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.

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.).


Required Skill Profession

Computer Occupations



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