L logo

Graphics Processing Unit (Gpu) Engineer

Leidos Holdings Inc.Bethesda, MD

$131,300 - $237,350 / year

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Schedule
Full-time
Education
Network (CCNA, CCNP, CCIE)
Career level
Senior-level
Remote
On-site
Compensation
$131,300-$237,350/year
Benefits
Career Development

Job 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.

#NMECDTP-Leidos

#NMECDTP-Subs

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:

February 12, 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.

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Graphics Processing Unit (Gpu) Engineer Jobs at Leidos Holdings Inc.

What is the work location for this position at Leidos Holdings Inc.?
This job at Leidos Holdings Inc. is located in Bethesda, MD, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Leidos Holdings Inc.?
Candidates can expect a pay range of $131,300 and $237,350 per year.
What employment applies to this position at Leidos Holdings Inc.?
Leidos Holdings Inc. lists this role as a Full-time position.
What experience level is required for this role at Leidos Holdings Inc.?
Leidos Holdings Inc. is looking for a candidate with "Senior-level" experience level.
What education level is required for this job?
The education requirement for this position is Network (CCNA, CCNP, CCIE). Candidates with relevant qualifications or equivalent experience may also be considered.
What benefits are offered by Leidos Holdings Inc. for this role?
Leidos Holdings Inc. offers Career Development for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Leidos Holdings Inc.?
You can apply for this role at Leidos Holdings Inc. either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.