Systems Engineer - HPC & GPU Infrastructure - TS/SCI

VMD Corp; Bethesda (MD); On-site; USD 140,000 - 180,000; Full time

Job summary

Xcelerate Solutions in Bethesda, MD, is seeking a Systems Engineer – HPC & GPU Infrastructure (Mid-Career) to design, develop, and optimize GPU clusters for IC customers. This 100% on-site role requires deep knowledge of Linux, HPC hardware, Kubernetes, and NVIDIA GPUs to deliver high-performance computing solutions.

Responsibilities include configuring GPU/HPC hardware both on-prem and in the cloud, implementing scheduling tooling (Slurm, PBS, Kubernetes), and ensuring power efficiency,

Qualifications

• U.S. Citizenship is required due to government contracts.
• TS/SCI clearance with polygraph required or willingness to obtain before starting.
• Bachelor's or higher in Computer Science, Electrical Engineering, or related field; additional experience may substitute for degree.
• 4+ years of relevant systems engineering experience.
• Expertise in Linux OS integration and Linux hardware architectures.
• Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux.
• Proficiency in Python or BASH.
• Proficiency with automation tools such as Ansible, Puppet, Salt, Terraform.
• IAT Level II certification minimum (Security+ CE, CCNA-Security, GICSP, GSEC, SSCP) or IAT Level III (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP).

Responsibilities

• HPC and GPU environment engineering: install and maintain GPU/HPC hardware on-prem and in the cloud.
• Performance optimization of HPC/GPU clusters across Linux environments.
• HPC/GPU tooling: configure job scheduling/workload managers (Slurm, PBS) and Kubernetes.
• Power efficiency: optimize GPU power consumption in Linux environments.
• Testing and validation: design and execute tests for GPU performance; maintain test suites.
• Documentation: maintain architectural specifications and Linux-specific best practices.
• Industry insight: stay updated on GPU trends and Linux-based approaches.

Skills

Linux

Kubernetes

Python

BASH

Automation tools

GPU hardware

Linux OS integration

Education

Bachelor's degree in CS/EE or related field

Tools

Docker

Prometheus

Grafana

Terraform

Ansible

Puppet

Salt

Job description

Systems Engineer – HPC & GPU Infrastructure – TS/SCI
Xcelerate Solution 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.

Systems Engineer – HPC & GPU Infrastructure – TS/SCI
Xcelerate Solution 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.

Location: Bethesda, MD. This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus. Security Clearance: TS/SCI

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.

Minimum Requirements

• Due to the nature of the government contracts we support, US Citizenship is required.
• TS/SCI clearance with Polygraph required or a TS/SCI and willingness to obtain a Polygraph prior to starting.
• 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).

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.

About Xcelerate Solutions

Founded in 2009 and headquartered in McLean, VA, Xcelerate Solutions (www.xceleratesolutions.com) is one of America's fastest-growing companies. Xcelerate’s culture is defined by our diversified workforce of dynamic and versatile professionals, supported with growth and development opportunities that contribute to individual and company growth. This strong commitment to our employees has been recognized by our inclusion on the Washington Business Journal’s “50 Best Places to Work” list as well as being a “Great Place to Work” certified company with a 4.6 star, and a 99% CEO approval Glassdoor rating. Come find out why Xcelerate Solutions is one of the DC Metro top employers! Xcelerate Solutions is an Equal Employment Opportunity/Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, age, equal pay, disability, veteran status, sex, sexual orientation, gender identity, genetic information, or expression of another protected characteristic. As part of this commitment to the full inclusion of all qualified individuals, Xcelerate provides reasonable accommodations if needed because of an applicant's or an employee's disability. Pay Transparency Notice: Xcelerate Solutions will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.