Job description

Position Summary Base-2 Solutions is seeking a Senior Systems Engineer - HPC & GPU Infrastructure to design, develop, and optimize high-performance computing and GPU clusters supporting 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 GPU and HPC hardware on-premises and in the cloud, providing insight into hardware performance and interaction with software components. • Analyze HPC and GPU cluster performance, identify bottlenecks, and develop strategies to improve performance across applications in Linux, 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 on mobile and desktop Linux platforms and continuously assess power-efficiency strategies. • Design and execute Linux-based tests to validate GPU performance and functionality, 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. Required Qualifications • Relevant systems engineering experience meeting an applicable education and 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 similar tools. • Candidate must, at a minimum, meet DoD 8570.11 IAT Level II certification requirements; an IAT Level III certification is also acceptable. • US Citizenship is required due to the nature of the government contracts supported. Preferred Qualifications • Knowledge of GPU virtualization, cloud computing, and emerging Linux-based technologies. • Experience with container technologies, including Docker and Kubernetes. • Experience with Prometheus/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 12+ years of relevant systems engineering experience. • Additional years of relevant systems engineering experience in lieu of a degree. Required Certifications • 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, including 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 GPU and HPC hardware on-premises and in the cloud, providing insight into hardware performance and interaction with software components.
Analyze HPC and GPU cluster performance, identify bottlenecks, and develop strategies to improve performance across applications in Linux, 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 on mobile and desktop Linux platforms and continuously assess power-efficiency strategies.
Design and execute Linux-based tests to validate GPU performance and functionality, 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.
Relevant systems engineering experience meeting an applicable education and 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.

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/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 systems engineering 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