Systems Engineer – HPC & GPU Infrastructure

Description

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.

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.

You Bring

• 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.

Preferred Qualifications

• 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.

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