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Software Development Engineer in Test (SDET)
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Linux Systems Engineer
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2027 Summer Internship: Design Engineer- Powertrain & Aftertreatment
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Security Operations Engineer
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Associate Principal, Software Engineering: Java
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Senior Software Engineer
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Added 13 mins ago
Staff Software Engineer, Server and Full Stack, Growth and Discovery, DeepMind
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Senior Software Engineer, Full Stack, Google Labs
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CACI International

Expert Systems Engineer

Fort Bragg, NC, United States

$108,900 - $239,500 · Full-time

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Job details

Pay: $108,900 - $239,500
Job type: Full-time
Posting language: English
Posted: Nov 1, 2026

Original job description

Job Title: Expert Systems Engineer

Job Category: Engineering

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI

Employee Type: Regular

Percentage of Travel Required: Up to 10%

Type of Travel: Local

Position Overview

We are seeking a passionate Expert Systems Engineer who thrives in a creative environment and applies nontraditional approaches to large-scale enterprise systems engineering in support of artificial intelligence, machine learning, and high-performance computing technologies.

In this role, you will develop cross-cutting solutions that integrate and optimize disparate data sources, methods, and technologies. You will translate academic research and commercial best practices into sustainable analytic workflows, rapidly incorporate emerging capabilities, and design solutions that remain accessible to nontechnical users. Your systems engineering expertise will help teams interpret complex data, identify relationships, anticipate outcomes, and produce actionable intelligence in support of America’s most elite forces.

What You’ll Do

Work as part of a multidisciplinary team to solve critical operational challenges involving data analytics and mission support.
Design, implement, and maintain high-performance computing environments for AI and machine learning applications.
Optimize server, GPU, and supercomputing configurations for efficiency, scalability, reliability, and performance.
Develop networking solutions that support high-throughput data processing and distributed workloads.
Configure and manage storage systems to provide reliable, efficient data access and retrieval.
Collaborate with data scientists and engineers to integrate AI and machine learning models into production environments.
Monitor system performance, troubleshoot bottlenecks, and identify opportunities for continuous improvement.
Evaluate advances in AI, machine learning, and high-performance computing and incorporate relevant capabilities into enterprise systems.

Required Qualifications

Active Top Secret security clearance with eligibility for access to Sensitive Compartmented Information (SCI).
Bachelor’s degree in computer science, electrical engineering, or a related field and at least 10 years of professional experience; or at least 15 years of progressive systems engineering experience managing IT infrastructure and architecture in support of the Department of War (DoW) or Intelligence Community (IC).
Demonstrated systems engineering experience with an emphasis on AI and machine learning optimization.
Strong knowledge of server, storage, and supercomputing architectures.
Expertise in networking protocols and high-performance computing environments.
Experience with GPU optimization and parallel processing.
Proficiency in storage configuration and management.
Familiarity with AI and machine learning frameworks and libraries, such as TensorFlow and PyTorch.
Excellent problem-solving skills and attention to detail.
Strong written and verbal communication and collaboration skills.
Ability to obtain and maintain the applicable certification required under DoD 8140.

Desired Qualifications and Experience

Master’s degree in computer science, electrical engineering, or a related field.
Experience with cloud computing platforms, such as AWS, Microsoft Azure, or Google Cloud.
Knowledge of containerization and orchestration technologies, such as Docker and Kubernetes.
Experience with version control systems, such as Git.
Strong knowledge of geographic information system (GIS) software and tools, such as ArcGIS, QGIS, and GeoServer.
Experience with geospatial data formats, including Shapefile, GeoJSON, and KML.
Familiarity with web mapping technologies, such as Leaflet and OpenLayers.

What You Can Expect:

A culture of integrity.

At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

An environment of trust.

CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

A focus on continuous growth.

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.

Pay Range :

There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

The proposed salary range for this position is:

$108,900 - $239,500

CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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