Software Engineering Institute | Carnegie Mellon University
AI and Software Engineering Research Scientist
🇺🇸
Pittsburgh, PA
🕑
Full-Time
💰
TBD
💻
Software Engineering
🗓️
July 6th, 2026
Edtech.com's Summary
Software Engineering Institute | Carnegie Mellon University is hiring an AI and Software Engineering Research Scientist. The role involves developing, maturing, and prototyping AI and edge software technologies, transitioning these solutions to government and industry stakeholders, and advancing research in tactical edge and AI-enabled systems. The scientist will engage directly with customers and represent technical work while contributing to the AI-native Software Engineering Directorate's research agenda.
Highlights
- Develop and prototype AI and edge software technologies for tactical and edge environments.
- Transition technologies to government and industry organizations.
- Focus areas include Edge AI in DDIL environments, Edge Intelligence, Edge-to-Cloud continuum, UaX-Edge collaboration, and software engineering for AI-enabled systems.
- PhD required in computer science, software engineering, machine learning, or a related discipline.
- Minimum two years professional experience in edge software system research or eight years leading software engineering innovation transition.
- Strong empirical research, written, and verbal communication skills.
- Preferred experience in deployment of edge systems, communicating research in top-tier venues, proposal development, and teamwork skills.
- Requires onsite work in Pittsburgh and approximately 10% travel flexibility.
- Must be eligible for Department of Defense security clearance and pass a background investigation.
- Position is full-time salaried staff within Software/Applications Development/Engineering function.
AI and Software Engineering Research Scientist Full Description
AI and Software Engineering Research Scientist
Pittsburgh, PA
Full time
What We Do:
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.
Position Summary:
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:
- Edge AI in DDIL (degraded, disconnected, intermittent, limited) environments
- Edge Intelligence
- Edge-to-Cloud continuum
- UaX-Edge collaboration
- Software engineering for AI-enabled systems, including agentic AI systems
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.
Requirements:
- PhD in computer science, software engineering, machine learning, or related discipline
- Two (2) or more years of full-time professional experience engineering edge software systems in a research environment, or eight (8) or more years of demonstrated experience leading the development and transition of innovative software engineering techniques into operational practice
- Strong empirical research skills
- Strong written and verbal communication skills
Desired Experience, Knowledge, Skills, and Abilities:
- Development and deployment of edge software systems, or systems with similar technical challenges, into operational environments
- Ability to communicate research outcomes, demonstrated by a publication record which includes relevant top-tier venues in software engineering and AI
- Development of successful research proposals
- Excellent analytical, problem solving, and interpersonal skills
- Ability to work in teams with a variety of technical and organizational skills
Other Requirements:
- Flexible to travel to sponsor sites, conferences, and offsite meetings (~10% travel).
- Able and willing to work onsite at the SEI office in Pittsburgh, 5 days per week.
- You will be subject to a background investigation and must be eligible to obtain and maintain a Department of War) security clearance.
.
LocationPittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position TypeStaff – Regular
Full time/Part timeFull time
Pay BasisSalary
More Information:
- Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
- Click here to view a listing of employee benefits
- Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
- Statement of Assurance
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