Software Engineer (R&D / AI & Data Platforms)
Leidos – Analysis Solutions Business Area
Build the future of data, AI, and mission-critical software.
Leidos is seeking a talented Software Engineer to help lead the development of next-generation software capabilities within our dynamic research and development environment. In this role, you’ll design and deliver innovative Knowledge Management solutions that power data-driven decision-making across critical national security missions.
You’ll work at the intersection of data engineering, AI, and full-stack development, building scalable platforms that transform complex data into actionable insights.
What You’ll Do
- Design and develop Knowledge Management systems, including data pipelines, ontologies, and AI-enabled platforms
- Build modern web applications (front-end and back-end) to support search, discovery, and analysis
- Develop and maintain ETL pipelines and data lake architectures
- Integrate AI/ML capabilities, including Generative AI and LLM APIs
- Collaborate across teams to gather requirements and deliver scalable, mission-focused solutions
- Support data analysis, modeling, simulation, and visualization efforts
- Ensure software quality through testing, validation, and performance optimization
- Deploy solutions in secure, cloud-based, and containerized environments
What You Bring
- Experience in software development and system design, with a strong foundation in computer science principles
- Proficiency in one or more programming languages such as Python, Java, C++, R, or JavaScript/TypeScript
- Experience building applications using React or Angular, and back-end frameworks such as FastAPI
- Familiarity with SQL and NoSQL databases
- Working knowledge of cloud platforms (preferably AWS) and containerization technologies (e.g., Docker)
- Experience with data pipelines, ETL processes, and data management systems
- Exposure to Generative AI / LLM APIs (e.g., OpenAI, Anthropic, Bedrock)
- Understanding of software testing frameworks (e.g., pytest, Playwright, Jest)
- Ability to work in Linux/Unix and Windows environments
- Strong communication skills and experience collaborating with technical and non-technical stakeholders
Basic Qualifications
- TS/SCI w/Polygraph
- Bachelor’s degree in computer science, Information Systems, Systems Engineering, or a related field
- Minimum of 1+ years of relevant experience
- Interest in supporting Intelligence Community and DoD missions
- U.S. Citizenship required
Preferred Qualifications
- Advanced degree (MS) in a relevant technical field
- Experience with AI/ML, LLMs, and AWS Bedrock
- Familiarity with DTRA R&D or Combatant Command environments
- Experience integrating COTS/GOTS tools, including 3D modeling, simulation, or visualization platforms
What Sets You Apart
- Detail-oriented with strong problem-solving skills
- Comfortable working in fast-paced, ambiguous environments
- Able to independently research and implement innovative solutions
- Effective collaborator who thrives both independently and on teams
- Strong technical writing and presentation skills
Why Leidos?
At Leidos, your work directly supports critical national security missions. You’ll join a collaborative, forward-thinking team where innovation is encouraged and your contributions make a real impact.
#ASBA
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:
June 24, 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 $57,850.00 - $104,575.00
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.