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

• 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., CI/CD Aviation Equities Debugging Scripting DevSecOps Claude AI Leadership Management User Story Scalability Testability Market Data Claude Code Traceability Risk Analysis Ancient History Computer Science General Aviation Product Delivery Agile Methodology Software Solutions Workflow Management Customer Engagement Systems Engineering User Interface (UI) Air Traffic Control Regulatory Compliance Cloud-Native Computing Operational Efficiency Expectation Management Artificial Intelligence Regulatory Requirements Technical Documentation Agile Software Development Java (Programming Language) Scrum (Software Development) React.js (Javascript Library) Python (Programming Language) Federal Aviation Administration Transcranial Magnetic Stimulation +0

Salesforce Developer Systems Engineer Leidos

Annapolis Junction, MD*On-Site

Planning Auditing Research Firewall Dataflow Equities Purchasing Upskilling Market Data Test Design Data Centers Traceability Cryptography Communication Test Planning Risk Analysis Linux Servers Prioritization Systems Design Key Management Risk Management Windows Servers Network Routing Ancient History Design Analysis Computer Science Network Switches Test Engineering Complex Networks Agile Methodology Analytical Method Program Management Systems Engineering Systems Integration System Requirements Time Off Management Security Engineering Systems Architecture System Configuration Architectural Design Signals Intelligence Information Gathering Information Assurance Requirements Analysis Scaled Agile Framework User Requirements Documents Network Planning And Design Computer Network Operations Kernel-Based Virtual Machine Security Requirements Analysis Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0 Login | JoinContact

Ansible Tooling On Prem Grafana Research Firewall Equities Debugging Scripting Terraform Scheduling Leadership Management Automation Algorithms Kubernetes Market Data Benchmarking Communication Collaboration Virtualization Apache Airflow Problem Solving Cloud Computing Ancient History Computer Science Power Management Operating Systems Docker (Software) Computer Hardware Systems Engineering Networking Hardware GIAC Certifications CompTIA Security+ CE Prometheus (Software) Electrical Engineering Software Documentation Technical Documentation IAT Level II Certification High Performance Computing Hot Standby Router Protocol IAT Level III Certification Python (Programming Language) GIAC Certified Incident Handler Virtual Local Area Network (VLAN) Slurm (Batch Scheduling Software) Job Scheduling (Inventory Management) Puppet (Configuration Management Tool) Systems Security Certified Practitioner GIAC Certified Enterprise Defender (GCED) Dynamic Host Configuration Protocol (DHCP) Certified Information System Auditor (CISA) Certified Cloud Security Professional (CCSP) GIAC Security Essentials Certification (GSEC) CompTIA Advanced Security Practitioner (CASP+) CISCO Certified Network Professional - Security GIAC Global Industrial Cyber Security Professional Certified Information Systems Security Professional Advanced Cardiovascular Life Support (ACLS) Certification Cisco Certified Network Associate Security (CCNA Security) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance), * 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).

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., * 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.

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., Linux Radar MATLAB Mathcad Planning Visionary Innovation Algorithms Detail Oriented Self-Motivation Test Automation Software Systems Strong Work Ethic Signal Processing Modeling Languages Systems Engineering Integration Testing Project Engineering Software Engineering Artificial Intelligence Digital Signal Processing Engineering Design Process System Integration Testing Military Standards And Specifications +0

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

Leidos 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.

This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus., Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .