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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