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 Equal Employment Opportunity Base-2 Solutions is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, sexual orientation, gender identity, genetic information, protected veteran status, or any other characteristic protected by law, and will not be discriminated against on the basis of disability. Learn more: base-2solutions.com/eeo

Requirements

Must-haves

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.
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.

Nice-to-haves

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.
Additional years of relevant experience in lieu of a degree.
Active Top Secret/SCI

Application prep

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Keywords to mirror

kubernetespythondocker

Platform: taleo-tbe
Effort: medium