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The Software Engineering Institute | Carnegie Mellon University in Pittsburgh is seeking an AI and Software Engineering Research Scientist. In this role, you will develop and mature technologies for tactical edge and AI-enabled systems intended for government and industry organizations.
You will need a PhD in a relevant discipline and strong empirical research skills. The position involves communication with stakeholders, balancing immediate needs with long-term goals in edge software systems. Flexible travel and onsite work are required.
The SEI’s Tactical Edge and AI-Enabled Systems (TAS) initiative advances and transitions AI and edge software capabilities with a focus on production-readiness of AI and edge systems and components. Examples include supporting small units operating in difficult edge environments that are often disconnected from enterprise computing infrastructure, such as tactical autonomy, first responders, space, and avionics systems. A natural outcome of our work is the advancement and transition of software engineering tools, methods, and approaches to enable production-readiness of AI systems and components.
As an AI and Software Engineering Research Scientist in the TAS Initiative you will develop, mature, and prototype technologies, and transition these technologies to government and industry organizations. You will directly develop and apply work with customers, balancing short-term customer needs with long-term goals of solving complex technical challenges within the development of `tactical edge and AI-enabled systems. You will represent technical work with customers, stakeholders, and the academic community, while advancing the TAS research agenda in edge software systems, in areas such as:
As part of the AI-native Software Engineering (AISE) directorate you will also be a part of the AISE Lab, advancing and learning about the state-of-the-art in AI-assisted tools and processes that are changing the practice of software engineering.