Systems Engineer - HPC & GPU Infrastructure - TS/SCI

About the role

Systems Engineer – HPC & GPU Infrastructure – TS/SCI. Xcelerate Solutions is looking for a mid-career Systems Engineer with a deep understanding of operating systems, hardware, Kubernetes, and NVIDIA GPU products. As a Systems Engineer – 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.

Requirements

• US Citizenship 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