Graphics Processing Unit (GPU) Engineer - TS/SCI

Sunayu•Bethesda, MD

13d•$131,300 - $237,350•Onsite

About The Position

Sunayu, LLC is seeking a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. This role involves designing, developing, and optimizing GPU clusters that power enterprise AI for mission customers. This is a 100% on-site position in Bethesda, MD.

Requirements

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 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).
Active TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.
US Citizenship is required.

Nice To Haves

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.).

Responsibilities

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.
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 for GPU integration.
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 scripting and configuration tools such as Bash, Python, Ansible, Puppet, and Salt.
Maintain technical documentation, architectural specifications, and Linux best practices.
Support ATO (Authority to Operate) and ensure compliance with federal security standards.