Graphics Processing Unit (GPU) Engineer

Description

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Your most important work is ahead.

If this sounds like the kind of environment where you can thrive, keep reading!

Leidos is looking for a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize GPU clusters that power enterprise AI for the mission 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:

• GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency, and feature requirements.
• Operating System Integration:Work closely with AI/ML engineers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, reliability, and performance. Provide regular maintenance and updates.
• Performance Optimization:Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers.
• Tooling and Automation:Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments. Leverage scripting and configuration tools such as Bash, Python, Ansible, Puppet, and Salt.
• Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards.

You Bring

• Bachelor's or higher degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with at least 12 years of related technical experience. Additional years of experience may be considered in lieu of a degree.
• 10+ years of relevant systems engineering experience
• Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, L4s).
• Knowledge of enterprise server components (storage/network controllers, HBA, SSDs).
• Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle, and Rocky).
• Excellent problem-solving skills and the ability to collaborate within a team.
• 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

• Experience with Kubernetes cluster management and AI/ML workflow orchestration (Argo, Airflow, and Kubeflow).
• Familiarity with GPU virtualization and cloud computing.
• Experience with Prometheus/Grafana for monitoring.
• Knowledge of distributed resource scheduling systems (Slurm (preferred), LSF, etc.).

What You'll Gain

At Leidos, your work directly supports some of the most critical missions in the intelligence community. You'll be part of a high-performing, collaborative environment where your contributions shape national security operations. Whether optimizing secure networks, refining system baselines, or integrating next-generation technologies, you'll find meaningful work, continuous technical challenges, and a clear path for advancement.

At Leidos, we don't want someone who "fits the mold"-we want someone who melts it down and builds something better. This is a role for the restless, the over-caffeinated, the ones who ask, "What's next?" before the dust settles on "what's now."

If you're already scheming step 20 while everyone else is still debating step 2... good. You'll fit right in.

Come break things (in a good way). Then build them smarter.

We're the tech company everyone calls when things get weird. We don't wear capes (they're a safety hazard), but we do solve high-stakes problems with code, caffeine, and a healthy disregard for "how it's always been done."

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.

The Leidos pay range for this job level is a general guideline onlyand 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.