AI Software Engineer

Description

Leidos is seeking a Software Engineer with AI-enabled development experience based in Gaithersburg, MD;
Eagan, MN; or Egg Harbor, NJ to support the UK National Airspace System Replacement Product Delivery Team (UK NASR PDT).

This role offers the opportunity to work on real-time, safety-critical systems that directly support national air traffic operations for the United Kingdom. You will help modernize a high-availability air traffic management platform using both traditional systems engineering practices and AI-augmented software development techniques.

This is a hybrid schedule with 3 days onsite and 2 days remote.

• Design, develop, test, and maintain software for real-time, high-availability systems
• Apply AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation
• Use AI responsibly across the full SDLC - including requirements analysis, design, implementation, testing, documentation, and code review
• Analyze complex system requirements and translate them into efficient, maintainable designs
• Develop and maintain automation scripts across development, test, and production environments
• Promote code quality, reuse, traceability, and cross-team collaboration

We are specifically seeking engineers who actively integrate AI into their daily development workflow.

• Hands‑on experience using AI‑assisted coding tools (e.g.,
  Claude Code, Git Hub Copilot, or similar
  ) for:
  • Code generation and refactoring
  • Debugging and automated test creation
  • IDE-integrated workflows
• Familiarity with large language model platforms (
  OpenAI, Anthropic, Google Gemini, etc.)
• Experience designing effective prompts and validating AI-generated output
• Understanding of human‑in‑the‑loop development and responsible AI usage
• Ability to evaluate AI-generated outputs for correctness, performance, safety, and bias - especially in regulated or safety‑critical environments
• Experience incorporating AI/ML techniques into software engineering workflows
• Experience with automated testing frameworks

• Bachelor's degree in Computer Science or related field with 4+ years of relevant experience OR Master's degree with 2+ years of relevant experience
• Strong object‑oriented programming experience
• Proficiency in C, C++, and/or Ada (Ada preferred but not required)
• Experience developing real‑time, multi‑threaded systems
• Familiarity with Linux (Red Hat), virtual machines, and hypervisors
• Experience with low‑level communications protocols (TCP/IP, UDP, SCTP)
• Experience with hardware or complex system integration
• Experience with source control and configuration management tools
• Strong communication skills and ability to work independently and within cross‑functional teams
• Ability to obtain and maintain a Public Trust clearance
• US citizenship required

You'll work on systems where performance, precision, and reliability matter - every second. This is not experimental AI for prototypes. This is disciplined, responsible AI applied to mission-critical software that supports national infrastructure.

If you're excited by solving complex problems in regulated, real-world environments - and using AI as a force multiplier rather than a shortcut - we'd like to talk.

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 18, 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 $87,100.00 - $

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…