About the team
The SEI's Architecture Design, Analysis, and Automation (ADAA) Initiative focuses on developing next generation tools to support modern software development and developing repeatable, scalable practices for AI/ML systems. Our group uses software architecture to assist organizations that need to design, develop, evolve and sustain large-scale, complex, mission-critical systems.
As a Researcher with the SEI ADAA Initiative, you will assist in implementing and extending our established research program. Activities will include creating and extending our body of work in software architecture, validating new concepts through prototyping, engineering demonstrations in industry and government settings, and accelerating the transition of proven methods to practice.
You will contribute to shaping the research agenda in developing automated, repeatable, scalable architecture design and analysis tools and techniques to improve modernization efforts in industry and DoD. In this role, you'll have the opportunity to have a significant and lasting influence on an evolving body of technical research and practice.
This position will be responsible for
Contributing to ongoing research efforts, building new research directions, and validating ideas in customer settings
Defining and developing research strategies and projects, participating in and Leading research teams
Working with collaborators and customers to apply research to real world systems and analyze oCompanyomes
Communicating the results of his/her research, through publication and presentations in peer-reviewed venues
You will be subject to a background check and will need to obtain and maintain a Department of Defense security clearance. US Citizenship is required.
Willingness to travel to various locations to support the SEI's overall mission. This may include national travel to sponsor sites, conferences, and offsite meetings on occasion (up to 30%)
BS in Software Engineering, Computer Science, Information Systems, AI/ML, a related field, or an equivalent combination of training and experience with ten (10) years of experience, OR MS in relevant fields above with eight (8) years of experience, OR PhD in relevant fields above with five (5) years of experience
Knowledge, Skills and Abilities
Must have experience in software architecture design and analysis research and/or practice architecting systems or applying AI/ML techniques to software engineering problems, which shall include specific experience in
Performing research in one or more of the following concentrations architectural design, code analysis, search-based software engineering, programming languages, data architectures, continuous integration, applying AI/ML techniques to software analysis, engineering AI systems
Applying architecture-centric methods and techniques on production systems, in particular for sustainment and modernization problems
Publishing at least three (3) papers (with at least one (1) as lead author) in peer-reviewed related venues
Using software architecture and design tools and languages (eg, UML and Enterprise Architect) to develop and evolve software
Using common object-oriented programming languages (eg, C++, Java, C#) and development tools (IDEs, static code analysis tools, unit testing frameworks, DevOps tools) in a team environment
Application of AI/ML techniques to software engineering problems, eg search-based software engineering or using ML for software artifact analysis
Ability to lead technical teams, and to work effectively on small and large teams
Writing and presenting funding proposals
Strong written and verbal communication skills, including presenting to small and large audiences in academic and industrial/government settings