Principal Autonomy and Resilient Systems Scientist

Job Description Description Are you a motivated Principal Resilient Systems Scientist with a technical vision and hands-on knowledge of mission-focused systems? The Leidos Innovations Center’s newly established Information and Data Science Division is seeking a Senior Resilient Systems Scientist to help lead strategic solution developments and projects. This role will drive the capture of strategic customer-funded software R&D. The ideal candidate will have a proven track record in developing technology-based approaches that yield novel, innovative capabilities while advancing the state of the art. We are looking for a proven researcher who can develop and lead a groundbreaking research portfolio using both internal and customer funding. Please note: This is an on-site role. The ideal candidate will be able to work out of our San Diego, CA; Arlington, VA or Dayton, OH offices. Occasional telework may be available. Primary Responsibilities Develop innovative solutions to challenging problems of interest to DARPA and the U.S. Department of Defense (DoD). Engage R&D customers and transition partners to understand technical gaps and needs for resilient systems solutions in mission-critical systems. Lead and execute research in areas such as naval surface platforms, autonomy, and resilient systems. Develop and deliver software products. Lead teams of researchers and engineers to develop, adapt, and extend innovative approaches to resilient systems solutions across various technical areas, advancing the state of the art and addressing long-term security problems like embedded systems. Develop novel approaches for assurance evidence for critical software at scale. Collaborate in cross-disciplinary teams to deliver innovations with measurable resilient mission impact. Track software technology trends within the customer community and broader R&D communities, and identify future funding opportunities. Basic Qualifications Bachelor’s degree in Computer Science, Mathematics, or related field with 12+ years of relevant experience; M.S. with 10+ years; Ph.D. with 8+ years. Must be a U.S. citizen. Qualified candidates must possess a Secret clearance and have the ability to obtain TS/SCI clearance. Proven success in proposing, winning, and executing work with agencies like DARPA, IARPA within the last 5 years. Experience in developing and delivering software products. Experience with surface platforms, autonomous systems, and naval applications. Experience in FPGA development, embedded systems, formal verification, and related technologies. Experience with autonomous systems and naval surface vessels. Proven track record in proposing, winning, and executing R&D contracts. At least 4 years of programming experience in Java, Scala, C/C++, Ruby, Rust, or Python. Experience in software testing, analysis, and specification. Strong communication skills, capable of engaging with senior leadership and technical teams, and presenting complex solutions clearly. Qualifications Ph.D. in Computer Science, Mathematics, or related fields. Experience in FPGA development, embedded systems, formal methods, and automated reasoning tools. Research experience in CPS domains like autonomous vehicles, IoT, or smart sensors, addressing technical challenges in security-relevant domains. Experience in semantic software analysis. Strong customer relationship skills, with the ability to identify challenges, recommend approaches, and shape future opportunities. Experience applying formal methods in complex, uncertain, and evolving technical environments. Ability to work in fast-paced settings. Excellent communication skills for technical presentations and documentation. Experience building strong, multidisciplinary research teams. Experience developing software for critical, certifiable applications. LInC Original Posting:

July 18, 2025 For U.S. positions, the job is expected to remain open for at least 3 days from the posting date, with an anticipated close date no earlier than 3 days after posting. Pay Range:

$126,100.00 - $227,950.00 The pay range is a general guideline and not a guarantee. Compensation factors include responsibilities, education, experience, skills, internal equity, market data, and applicable laws.

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