Software Engineer- AI, Autonomy and Platform Development

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., * 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.

• 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., * 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.

Pay and benefits are fundamental to any career decision. That’s why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .