Principal Scientist in Manufacturing and Autonomy Research

Description Join our innovative team as a Principal Scientist in Manufacturing and Autonomy Research. We're looking for a dynamic leader with a strong technical vision and hands-on experience in mission-focused systems. At the Leidos Innovations Center's newly established Information and Data Science Division, you will have the opportunity to spearhead strategic research projects and develop cutting-edge software solutions. The ideal candidate will possess a solid track record of creating technology-driven strategies that introduce innovative solutions and enhance the current state of the art. The role can be performed in our offices located in San Diego, CA or Arlington, VA. Primary Responsibilities Innovatively solve complex problems pertinent to DARPA and U.S. Department of Defense (DoD). Engage with R&D customers and transition partners to understand and address technical gaps in resilient systems solutions. Lead research efforts in naval surface platforms, autonomy, and resilient systems. Develop and deliver impactful software products. Guide teams of researchers and engineers in crafting and enhancing resilient systems solutions across various technical fields. Establish new methods for generating assurance evidence for critical software at scale. Collaborate in interdisciplinary teams to create innovations with measurable effects on mission resilience. Stay informed on software technology trends and identify future funding opportunities in software R&D. Basic Qualifications Proven success in securing and completing projects with agencies such as DARPA or IARPA in the last five years. Extensive experience in developing and delivering software products. Solid background in surface platforms, autonomous systems, and naval applications. Bachelor's degree in Computer Science, Mathematics, or a related field with at least 15 years of experience, or a Master's degree with 10+ years of experience, or a Ph.D. with 8+ years of experience (Ph.D. preferred). Expertise in FPGA development, embedded systems, formal verification techniques, program analysis, and automated reasoning tools. In-depth knowledge of autonomous systems and naval systems, specifically surface vessels. Established record in proposing, winning, and executing R&D contracts. At least 4 years of programming experience in languages such as Java, Scala, C/C++, Ruby, Rust, or Python. Experience in software evaluation, analysis, and specification. Exceptional communication skills to engage effectively with senior leadership and technical teams. Willingness to obtain and maintain a DoD Secret clearance; U.S. Citizenship is required. Preferred Qualifications Ph.D. in Computer Science, Mathematics, or a related field. Experience in FPGA development and testing, along with embedded systems design and innovation. Research experience in cyber-physical systems, autonomous vehicles, smart sensors, or IoT. Knowledge in semantic analysis of software systems. Strong relationship-building skills to understand and tackle technical challenges and propose alternative approaches. Experience with formal methods applied to complex domains under uncertainty. Ability to thrive in a fast-paced environment. Excellent written and oral communication skills to convey technical concepts effectively. Experience forming successful teams from academia and industry for R&D initiatives. Experience developing software for critical applications that necessitate software certification. Active DoD Secret clearance is a plus. Willingness to work on a hybrid schedule at our offices in San Diego, CA or Arlington, VA. If you're seeking a challenge and thrive in an environment that encourages innovation and progressive thinking, we encourage you to apply. At Leidos, we are looking for individuals who can think differently and tackle the mission with determination. Pay Range: Pay Range $126,100.00 - $227,950.00 This compensation range is a guideline and may not reflect your actual salary. Factors considered include responsibilities, education, experience, knowledge, skills, and abilities, along with internal equity and market data.