Senior AI Software Engineer

Leidos•Egg Harbor Township, NJ

1d•Hybrid

About The Position

Leidos is seeking a Senior 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. What You’ll Do 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 Required Qualifications AI-Driven Engineering Experience 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, GitHub 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 Core Technical Qualifications Bachelor’s degree in Computer Science or related field with 8+ years of relevant experience OR Master’s degree with 6+ 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 Why Leidos 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: 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. Leidos Leidos is a Fortune 500® innovation company rapidly addressing the world's most vexing challenges in national security and health. The company's global workforce of 47,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenue of approximately $15.4 billion for the fiscal year ended December 29, 2023. For more information visit www.Leidos.com. Pay and Benefits 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 here. Securing Your Data Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to spam.leidos@leidos.com. Commitment and Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Requirements

AI-Driven Engineering Experience 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, GitHub 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 8+ years of relevant experience OR Master’s degree with 6+ 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

Responsibilities

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