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00100 LEIDOS, INC.

Principal Resilient Systems Scientist

00100 LEIDOS, INC., Dayton, Ohio, United States, 45444

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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.

The ideal candidate will be able to work out of our San Diego, CA; Arlington, VA or Dayton, OH offices.

Primary Responsibilities

Develop innovative solutions to challenging problems of interest to the Defense Applied Research Projects Agency (DARPA) and 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 teams of researchers and engineers in the development, adaptation, and extension of innovative approaches to resilient systems solutions across a range of technical areas and application domains to advance the state of the art while addressing long-term problems of importance to national security such as embedded systems.

Develop novel approaches for the generation of assurance evidence for critical software, at scale.

Collaborate in cross-discipline teams to deliver innovations that provide measurable resilient mission impact.

Track software technology trends in the customer community and broader R&D communities, and identify future software R&D funding opportunities to ensure technical relevancy.

Basic Qualifications

Proven track record in proposing, winning, and executing work with customers such as DARPA, IARPA or similar agencies within the last 5 years.

Bachelor’s degree in Computer Science, Mathematics, or a related field with 12+ years of relevant experience; M.S. with 10+ years; Ph.D. with 8+ years (Ph.D. preferred).

Experience in FPGA development, embedded systems, formal verification, program analysis, constraint-solving, symbolic execution, or theorem proving.

Proven success in proposing, winning, and executing Contract R&D.

At least 4 years of programming experience in languages such as Java, Scala, C / C++, Ruby, Rust, or Python.

Experience with software analysis, testing, and specification.

Strong communication skills, with experience engaging with senior leadership and technical teams, and presenting complex solutions clearly.

Must possess a Secret clearance and the ability to obtain Top Secret clearance.

Preferred Qualifications

Ph.D. in Computer Science, Mathematics, or related field.

Experience with FPGA development, embedded systems, formal methods, theorem provers, or automated reasoning tools.

Research experience in CPS domains like autonomous vehicles, smart sensors, or IoT, especially in data fusion from cyber and physical systems.

Experience in semantic analysis of software.

Strong customer relationship skills, including technical challenge discovery and opportunity shaping.

Experience applying formal methods in complex, uncertain, and evolving technical domains.

Ability to work in a fast-paced environment.

Excellent communication skills, both written and oral.

Proven ability to form strong, multidisciplinary teams for research and development.

Experience developing software for critical applications requiring certification.

Additional Details Original Posting: June 20, 2025

For U.S. Positions: This job is expected to remain open for at least 3 days from the posting date.

Pay Range:

$126,100.00 - $227,950.00

Note: The salary range is a guideline and not a guarantee. Factors such as responsibilities, education, experience, and market data influence the actual offer.

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