Stateside Spec Engineering jobs in the United States

Leidos

Systems Engineer – HPC & GPU Infrastructure

Bethesda, MD · On-site · Senior

Discipline
Systems
Industry
Defense
Constraints
TS/SCI

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Engineering / HPC & GPU Infrastructure

Senior Systems Engineer for HPC & GPU Infrastructure focused on on-prem and cloud GPU/HPC platforms, performance optimization, and tooling; requires TS/SCI with Poly or willingness to obtain, across Linux, hardware, and orchestration tooling.

$131,300–$237,350 / year · Day shift · 12+ years · Bachelor's or higher in Computer Science, Electrical Engineering, or related field

Required

  • Linux OS integration
  • HPC/GPU hardware knowledge
  • Kubernetes
  • Python or Bash
  • Ansible Puppet Salt Terraform
  • DoD 8570.11- IAT Level II/III certifications or equivalent
  • Active TS/SCI clearance with Polygraph or willingness to obtain one

Preferred

  • GPU virtualization
  • container technologies (Docker, Kubernetes)
  • Prometheus/Grafana
  • distributed resource scheduling
  • data center networking
  • DHCP/DNS/TCP/IP/VLANs/HSRP/SNMP
  • security principles for networks

Benefits

  • medical
  • 401k
  • PTO

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Employer description

Leidos is looking for a senior Systems Engineer – HPC & GPU Infrastructure with a deep understanding of operating systems, hardware, Kubernetes, and NVIDIA GPU products. As a senior Systems Engineer – 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.

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 , KubernetesPower 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.
You Bring

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.12+ years of relevant systems engineering experienceExpertise 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).
Clearance

Active TS/SCI clearance with Polygraph required OR active TS/SCI and willingness to obtain and maintain a Poly.US Citizenship is required due to the nature of the government contracts we support.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 monitoringKnowledge of distributed resource scheduling systemsUnderstanding 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.#NMECDTP-ALL

If you’re looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We’re not hiring followers. We’re recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We’re already at step 30 — and moving faster than anyone else dares.

Original Posting:July 13, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $131,300.00 - $237,350.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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