Software Engineer - Formal Methods

Leidos Innovations Center is looking for a Software Engineer in formal methods and cyber-physical systems who has experience with integrating and delivering of state-of-the-art automated reasoning technologies that enable production of high-assurance software and software-intensive systems.  This role will contribute to R&D projects in formal methods, proof engineering, theorem proving, formalized mathematics, gaining hands-on experience developing and applying novel capabilities to address emerging, state-of-the-art technical challenges for software, embedded systems, and cyber-physical systems.

Please note: Preference will be given to those who are local and able to be on-site in San Diego, CA or Arlington, VA a few days a week for meetings.

Primary Responsibilities:

The Formal Methods Software Engineer will serve in the role of an individual contributor on contract R&D programs working at the direction of a principal investigator or task lead, supporting the development, adaptation, and extension of innovative approaches and solutions in automated reasoning applied research as well as supporting the engagement of customers to develop new business opportunities.   Tasks involved in this role include the development of software and test cases as well as the adaptation and extension of formal methods tools such as theorem provers, solvers, model checkers as the means for producing assurance evidence. The innovative technical solutions will advance the state of the art while addressing long-term problems of importance to national security.  As such, strong candidates will have demonstrated the ability to make strong contributions as part of high-performing teams in the development and integration of software-based solutions for customers such as DARPA and other branches of the Department of Defense.  

Basic Qualifications:

• BS in Computer Science or closely related area and 4+ years of prior relevant experience or Masters with 2+ years of prior relevant experience  
• Industrial/academic experience making significant contributions to formal verification, developing technologies such as program analysis, constraint-solving, symbolic execution, or theorem proving.
• At least 2 years of experience with programming languages such as Java, Scala, C/C++, Ruby, Rust, or Python  
• At least 3 years of hands-on experience: 
• Applying formal methods, using technologies such as theorem provers for first-order logic and higher-order logic, proof assistants, solvers, or other automated reasoning tools and/or conducting applied research areas of CPS such as autonomous vehicles, smart sensors, or Internet of Things, fusing data collected from cyber and physical systems to develop novel approaches to address emerging technical challenges in domains relevant to U.S. national security.  
• Must be a U.S. Citizen and have the ability to obtain and maintain a Secret security clearance.

Preferred Qualifications:

• Ph.D. or M.S. in Electrical Engineering, Computer Science, Mathematics, or in areas related to low-level systems, software correctness  
• Experience applying the application of formal methods in fundamental research contexts, to problems in complex domains, under conditions of uncertainty, and dynamic and evolving technical challenges  
• Demonstrable experience extending formal methods tools for new challenges  
• Experience being part of the proposal and project execution processes for competitive, externally-funded projects, ideally with customers like DARPA
• Ability to work in a fast-paced environment  
• Excellent written and oral skills in communicating technical information with an ability to present complex technical information clearly and coherently  
• Local to Arlington, VA or San Diego, CA

LInC

We’re not looking for perfectly polished resumes or perfect fits. We’re looking for people who break limits, ask hard questions, and don’t wait to be told what’s next. At Leidos, we’re not following the roadmap — we’re redrawing it. 

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.