Systems Engineer (Mid-Career) – HPC & GPU Infrastructure

Base-2 Solutions, LLC; Bethesda (MD); On-site; USD 120,000 - 150,000; Full time

Job summary

Base-2 Solutions, LLC is seeking a mid-career Systems Engineer to design, develop, and optimize GPU clusters for Intelligence Community customers. This 100% on-site role is based at the customer site in Bethesda, MD.

The engineer will install and optimize GPU/HPC hardware, analyze performance, and implement GPU testing and dashboards, with DoD/IC compliance and strong Linux expertise.

Qualifications

• Bachelor’s degree or higher in computer science, electrical engineering, or related field.
• 4+ years of relevant systems engineering experience per equivalency rules.
• Experience with Linux-based GPU/HPC hardware and software integration.
• DoD 8570.11 IAT Level II/III certs or equivalent certification.
• Active Top Secret/SCI clearance is required.

Responsibilities

• Install and maintain on-premises and cloud-based GPU and HPC hardware.
• Analyze HPC and GPU cluster performance; identify bottlenecks and optimize.
• Configure Slurm, PBS, Airflow, and Kubernetes job scheduling and workloads.
• Apply power-management to optimize GPU consumption across Linux platforms.
• Design and execute Linux GPU performance tests and maintain test suites.
• Maintain comprehensive technical documentation and best practices.
• Monitor GPU industry trends and propose Linux-based optimization approaches.
• Share regular technical updates with the team.

Skills

Linux system integration

GPU/HPC hardware knowledge

Python / Bash scripting

Automation tools (Ansible, Puppet,Salt

Kubernetes / Docker

US Citizenship

Security/CERT IAT level

Parallel computing / graphics in Linux

Linux performance analysis

Education

Bachelor’s or higher in CS/EE or related field

Tools

Slurm

PBS

Apache Airflow

Kubernetes

Docker

Terraform

Ansible

Job description

Position Summary

Base-2 Solutions is seeking a mid-career Systems Engineer specializing in HPC and GPU infrastructure to design, develop, and optimize GPU clusters for Intelligence Community customers. This is a 100% on-site position at the customer site in Bethesda, Maryland.

Essential Duties and Responsibilities

• Contribute to the installation and maintenance of on-premises and cloud-based GPU and HPC hardware, assessing hardware performance and its interaction with software components.
• Analyze HPC and GPU cluster performance, identify bottlenecks, and develop strategies to improve performance across Linux applications while addressing hardware and software considerations.
• Install and configure HPC and GPU job-scheduling and workload-management platforms, including Slurm, PBS, Apache Airflow, and Kubernetes.
• Apply power-management techniques to optimize GPU power consumption across mobile and desktop Linux platforms.
• Design and execute Linux-based GPU performance and functionality tests, including stress testing, benchmarking, and debugging; maintain and expand the testing suite.
• Maintain comprehensive technical documentation, including architectural specifications, code documentation, and Linux-specific best practices for GPU development.
• Monitor trends, innovations, and competitive developments in the GPU industry; contribute to research and propose Linux-specific approaches to GPU design and optimization.
• Share regular technical updates and insights with the team.

Required Qualifications

• Systems engineering experience meeting an applicable education/experience pathway in the equivalency section.
• 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 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, and related tools.
• US Citizenship.
• DoD 8570.11 IAT Level II certification requirements or an acceptable IAT Level III certification.

Preferred Qualifications

• Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies.
• Experience with container technologies, including Docker and Kubernetes.
• Experience with Prometheus and Grafana for monitoring.
• Knowledge of distributed resource-scheduling systems.
• Understanding of 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, including firewall ACLs, IPS/IDS, and policy-based routing.

Required Education and Experience Equivalency

• Bachelor’s or higher degree in Computer Science, Electrical Engineering, or a related field with 4+ years of relevant systems engineering experience.
• Additional years of relevant experience in lieu of a degree.

Required Certifications

• Meet DoD 8570.11 IAT Level II certification requirements, currently one of Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification, or an acceptable IAT Level III certification, including one of CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, or CCSP.

Required Security Clearance

• Active Top Secret/SCI