Systems Engineer – HPC & GPU Infrastructure

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

1. 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.

2. 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.

3. HPC/GPU tooling: Install and configure HPC/GPU job scheduling and workload management

platforms such as Slurm PBS Apache Airflow Kubernetes

4. 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.

5. 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.

6. 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.

7. 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

• Bachelors 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.

Additional Information :

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time