Additionalinformation

Additional Information

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Companydescription

Company Description

Jobdescription

Job Description

Our partner, Vexterra Group, 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.

Primary 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.

Qualifications

Basic Qualifications

• 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).
• TS/SCI clearance with Polygraph required or a TS/SCI and willingness to obtain a Polygraph prior to starting.

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.