Description
Leidos is seeking a mid-career Systems Engineer – HPC & GPU Infrastructure to play a pivotal role in designing, developing, and optimizing GPU clusters for the IC community customers. This is a 100% on-site position at the Intelligence Community Campus in Bethesda, Maryland.
The successful candidate will contribute to the installation and maintenance of GPU and HPC hardware on-prem and in the cloud, provide insights into hardware performance, analyze HPC/GPU cluster performance, identify bottlenecks, and develop strategies to enhance performance across various applications in Linux.
Key Responsibilities:
- Design, develop, and optimize GPU clusters for IC community customers
- Install and maintain GPU and HPC hardware on-prem and in the cloud
- Analyze HPC/GPU cluster performance, identify bottlenecks, and develop strategies to enhance 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
- Design and execute tests to validate GPU performance and functionality on Linux
- Maintain comprehensive technical documentation
- Stay updated on the latest trends, innovations, and competitive landscapes within the GPU industry
Requirements:
- Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field
- 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 as Ansible, Puppet, Salt, Terraform, etc.
- Candidate must meet DoD 8570.11- IAT Level II certification requirements
Preferred Qualifications:
- Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies
- 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
The pay range for this position is $87,100.00 - $157,450.00.