Software Engineer- AI, Autonomy and Platform Development

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 Youll 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 Bachelors 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 Bachelors 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 Bachelors 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 youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

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.