Leidos Inc
Principal Manufacturing & Autonomy Research Scientist
Leidos Inc, Arlington, Virginia, United States, 22201
Overview
Description Senior Resilient Systems Scientist role at Leidos Innovations Center, Information and Data Science Division. The Senior Resilient Systems Scientist will help lead strategic solution developments and projects, drive capture of strategic customer-funded software R&D, and develop technology-based approaches that yield novel capabilities while advancing the state of the art. The role requires a proven researcher who can develop and lead a groundbreaking research portfolio using both internal and customer funding. The ideal candidate should be able to work from Leidos office(s) in San Diego, CA or Arlington, VA. Primary Responsibilities
Develop innovative solutions to challenging problems of interest to DARPA and the 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 of naval surface platforms, autonomy, and resilient systems. Develop and deliver software products. 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 generating 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 to identify future software R&D funding opportunities and maintain 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. Proven track record in developing and delivering software products. Experience with surface platforms, autonomous concepts, and naval applications. Bachelor’s degree in Computer Science, Mathematics, or related field with 15+ years of relevant experience, or MS with 10+ years, or PhD with 8+ years (PhD preferred). Experience advancing the state of the art in FPGA development, embedded systems, formal verification, program analysis, constraint-solving, symbolic execution, or theorem proving. Experience with autonomous systems and naval surface vessels. Proven track record in proposing, winning, and executing Contract R&D. At least 4 years of experience with programming languages such as Java, Scala, C/C++, Ruby, Rust, or Python. Experience with test and evaluation, software analysis and software specification. Strong verbal and written communication skills with ability to present complex software solutions to senior leadership and technical teams. Ability and willingness to obtain and maintain a DoD Secret clearance. U.S. Citizenship is required. Preferred Qualifications
Ph.D. in Computer Science, Mathematics, or related field. FPGA development and testing, embedded systems design and innovation, applying formal methods, using theorem provers, solvers, or other automated reasoning tools. Experience in applied CPS research areas such as autonomous vehicles, smart sensors, or IoT, fusing data from cyber and physical systems to address national security challenges. Experience in semantic analysis of software. Strong customer relationship skills, ability to identify true technical challenges, recommend approaches, and shape future opportunities. Experience applying formal methods in fundamental research contexts to problems in complex domains under uncertainty. Ability to work in a fast-paced environment. Excellent written and oral communication skills for presenting technical information clearly. Proven experience forming strong teams from academia and industry for competitive R&D opportunities. Experience developing software for critical applications requiring software certification. Active DoD Secret clearance. Ability and willingness to work a hybrid schedule onsite in San Diego, CA or Arlington, VA.
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Description Senior Resilient Systems Scientist role at Leidos Innovations Center, Information and Data Science Division. The Senior Resilient Systems Scientist will help lead strategic solution developments and projects, drive capture of strategic customer-funded software R&D, and develop technology-based approaches that yield novel capabilities while advancing the state of the art. The role requires a proven researcher who can develop and lead a groundbreaking research portfolio using both internal and customer funding. The ideal candidate should be able to work from Leidos office(s) in San Diego, CA or Arlington, VA. Primary Responsibilities
Develop innovative solutions to challenging problems of interest to DARPA and the 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 of naval surface platforms, autonomy, and resilient systems. Develop and deliver software products. 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 generating 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 to identify future software R&D funding opportunities and maintain 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. Proven track record in developing and delivering software products. Experience with surface platforms, autonomous concepts, and naval applications. Bachelor’s degree in Computer Science, Mathematics, or related field with 15+ years of relevant experience, or MS with 10+ years, or PhD with 8+ years (PhD preferred). Experience advancing the state of the art in FPGA development, embedded systems, formal verification, program analysis, constraint-solving, symbolic execution, or theorem proving. Experience with autonomous systems and naval surface vessels. Proven track record in proposing, winning, and executing Contract R&D. At least 4 years of experience with programming languages such as Java, Scala, C/C++, Ruby, Rust, or Python. Experience with test and evaluation, software analysis and software specification. Strong verbal and written communication skills with ability to present complex software solutions to senior leadership and technical teams. Ability and willingness to obtain and maintain a DoD Secret clearance. U.S. Citizenship is required. Preferred Qualifications
Ph.D. in Computer Science, Mathematics, or related field. FPGA development and testing, embedded systems design and innovation, applying formal methods, using theorem provers, solvers, or other automated reasoning tools. Experience in applied CPS research areas such as autonomous vehicles, smart sensors, or IoT, fusing data from cyber and physical systems to address national security challenges. Experience in semantic analysis of software. Strong customer relationship skills, ability to identify true technical challenges, recommend approaches, and shape future opportunities. Experience applying formal methods in fundamental research contexts to problems in complex domains under uncertainty. Ability to work in a fast-paced environment. Excellent written and oral communication skills for presenting technical information clearly. Proven experience forming strong teams from academia and industry for competitive R&D opportunities. Experience developing software for critical applications requiring software certification. Active DoD Secret clearance. Ability and willingness to work a hybrid schedule onsite in San Diego, CA or Arlington, VA.
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