Systems Engineer – HPC & GPU Infrastructure

Leidos•Bethesda, MD

1d•$87,100 - $157,450•Onsite

About The Position

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

Requirements

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).
Clearance Active TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.
US Citizenship is required due to the nature of the government contracts we support.

Nice To Haves

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
Understanding data center networking hardware and cabling concepts.
Understanding of networking technologies such as DHCP, DNS, TCP/IP, VLANs, HSRP, and SNMP.
Knowledge of data center networking security principles Firewall ACLs, IPS/IDS, and Policy Based Routing.

Responsibilities

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.
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.
Install and configure HPC/GPU job scheduling and workload management platforms such as Slurm , PBS , Apache Airflow , Kubernetes
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.
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.
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.
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.