Jobs in the United States

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Mechanical Product Design Engineer III
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Hybrid (4 days per week in-office / 1 day remote)
Added 2 mins ago
AI Software Engineer
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Software QA Engineer
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Added 7 mins ago
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Added 9 mins ago
Software Engineer- AI, Autonomy and Platform Development
LEIDOS, INC.
Reston, VA · Huntsville, AL · San Diego, CA
Software Engineer – AI, Autonomy & Platform Development
Added 12 mins ago
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2027 Intern Engineer - Product Support
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- $17.5 to $39.25 USD / hour
Perform basic quality checks on logistics and technical data for accuracy and usability.
Added 13 mins ago
2026 Associate Electrical Engineering/ Electrical Engineering - Wallops VA
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Staff Mechanical Design Engineer
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Northrop Grumman Aeronautics Systems has an opening for a Staff Mechanical Design Engineer to join our team of qualified individuals. Position is located in Melbourne, FL.
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Quality Engineer 1
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- $80,000 to $90,000 USD / year
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Added 17 mins ago
Software Development Engineer, Billing Data Services, Billing Data Services
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Test Engineer
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Senior Software Engineer
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As a Senior Software Engineer in GE HealthCare's Science & Technology organization, you will develop scalable, cloud-based software solutions that support healthcare innovation and digital…

Software Engineer- AI, Autonomy and Platform Development

Reston, VA, United States
Huntsville, AL, United States
San Diego, CA, United States

Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.

Apply on leidos.wd5.myworkdayjobs.com About employer

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Job details

Pay: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Posting language: English
Posted: Nov 10, 2026

Original job description

Software Engineer – AI, Autonomy & Platform Development

Overview

The Leidos Office of Technology is seeking Software Engineers with AI and autonomy experience to help build a common technology platform. In this role, you will design, build, and operate production software for AI-driven and autonomous systems. You will work in small, accountable build-and-run teams, using modern AI-assisted development practices to ship faster and at higher quality. Your work will support national security and other critical missions where reliability, security, and human oversight matter. Location: The ideal candidate will be based in Northern Virginia or near another Leidos facility, such as Huntsville, AL, or San Diego, CA. Onsite work at a Leidos facility is required as business needs dictate. What You’ll Do

Design and build AI agents and reasoning services, including LLM-based agents, planning, and inference, with human oversight, auditability, and fail-safe behavior built in.
Develop autonomy software and integrate it with sensors, platforms, and hardware across edge and cloud environments.
Design and develop platform software, including APIs and SDKs, data and knowledge services, and user-facing applications.
Package components as reusable, secure, well-documented assets that others can adopt without rework.
Build and maintain CI/CD pipelines, automated testing, and release evidence (SBOM, provenance, signing) that support secure release and deployment.
Own what you build in production, including observability, reliability, and incident response.
Contribute to engineering standards, reusable patterns, and technical-debt reduction across the platform.
Collaborate with program teams and architects to turn customer needs into repeatable capabilities.
Use AI-assisted development tools (coding assistants, agentic workflows, automated review and test generation) in daily engineering, and help teams adopt them effectively and responsibly.
Help evaluate emerging AI, autonomy, and developer-productivity technologies, and scale what works.

Basic Qualifications

We are hiring software engineers at all levels, from junior through senior, with opportunities tailored to individual experience and expertise in AI-enabled software development.
At the early career level, the ideal candidate would have a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, combined with 4+ years of experience. (Additional years of experience may be considered in lieu of a degree.)
At the mid level, the ideal candidate would have a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, combined with 8+ years of experience. (Additional years of experience may be considered in lieu of a degree.)
At the senior level, the ideal candidate would have a Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, combined with 12+ years of experience. (Additional years of experience may be considered in lieu of a degree.)
Hands-on software development experience in one or more modern languages such as Python, C++, Rust, Java, Go, or TypeScript.
Experience (professional, academic, or personal projects) building AI/ML-enabled or autonomous systems, such as LLM agents, robotics, perception, planning, or sensor-driven software.
Working knowledge of Git-based workflows, CI/CD, automated testing, and DevSecOps practices.
Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code, or comparable) and the ability to quickly adopt new tools.
Strong communication skills and the ability to work effectively in small, cross-functional teams.
U.S. citizenship and the ability to obtain and maintain a Top Secret security clearance.

Preferred Qualifications

Experience building AI/ML-enabled systems, including LLM agents, agent frameworks, evaluation harnesses, or retrieval and data pipelines.
Experience with autonomy or robotics software, including perception, planning, control, sensor fusion, simulation, ROS 2, or DDS.
Experience with edge and embedded systems, real-time or deterministic software, Linux and real-time operating systems, or GPU/accelerator programming.
Experience designing APIs, SDKs, or developer platforms, including extensible component architectures, developer experience, platform engineering, or software modernization.
Experience with cloud and container technologies (AWS, Azure, Google Cloud; Docker, Kubernetes) and infrastructure as code.
Familiarity with secure software supply chain practices, static analysis, and security scanning tools (e.g., SonarQube, Fortify, Checkmarx).
Understanding of responsible AI practices for assured autonomy, including human-in-the-loop control, audit trails, and IP and data-handling considerations in AI-assisted development.
Background supporting federal, defense, intelligence, or homeland security missions, and an active Top Secret clearance.

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:

November 10, 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 $107,900.00 - $195,050.00 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.

Apply on leidos.wd5.myworkdayjobs.com About employer

More about this job

Skills

Industrial software
CI/CD
Test automation
Incident response
Computer science
Software development
Modern languages
Python
C++
Rust
Oracle Java
Go
TypeScript
ML
Robotics
Git
GitHub
Communication skills
Embedded systems
Linux
AWS
Microsoft Azure
Google Cloud
Docker
Kubernetes
Infrastructure as code
Supply chain management
SonarQube

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Work requirements

Jobs in the United States