Edge AI Research Scientist

Carnegie Mellon University•Pittsburgh, PA

1d•Onsite

About The Position

The Edge AI Research Scientist (MTS-C) will develop, mature, prototype, and transition technology that advances edge intelligence and delivers impact to critical missions. The role leads high-visibility research initiatives, addressing immediate customer challenges while pursuing longer-term solutions to complex technical bottlenecks. The scientist presents research to executive stakeholders, defense and industry partners, and academic communities, and advances research in agentic systems for edge intelligence, software engineering for edge missions, resource management for edge systems, and adaptive systems for mission resilience. As a member of the AI-Native Software Engineering (AISE) Directorate, the scientist will collaborate within the AISE Lab and work with state-of-the-art AI-assisted tools and workflows that are transforming the software engineering lifecycle. The position is based onsite at Carnegie Mellon University's SEI main office in Pittsburgh, Pennsylvania, five days per week, with approximately 10% travel.

Requirements

PhD in Computer Science, Software Engineering, Machine Learning, or a related field, with at least 2 years of experience in edge AI system engineering; or equivalent experience, such as 8 or more years developing and transitioning innovative technical solutions into operational practice.
Proven ability to design rigorous empirical research, conduct experiments, and quantitatively validate results.
Exceptional written and oral communication skills, including the ability to translate complex research into compelling technical narratives.
Ability to travel approximately 10%.
Willingness and capability to work onsite at the SEI main office in Pittsburgh, Pennsylvania, five days per week.
Must be able to obtain and maintain a Department of War security clearance and undergo a background investigation.

Nice To Haves

Practical experience building and deploying edge AI software, or systems with similar hardware and network constraints, in real-world operational environments.
Proven ability to publish and present research at premier software engineering, edge computing, or AI conferences and journals.
Track record of crafting, winning, and executing research proposals or securing funding from government agencies or strategic industry partners.
Outstanding analytical capabilities and strong interpersonal skills for effective collaboration across multidisciplinary teams.

Responsibilities

Develop, mature, prototype, and transition edge intelligence technology for critical missions.
Lead high-visibility research initiatives addressing customer challenges and longer-term technical bottlenecks.
Advance research in agentic systems for edge intelligence, software engineering for edge missions, resource management for edge systems, and adaptive systems for mission resilience.
Present research to executive stakeholders, defense and industry partners, and academic communities.
Collaborate within the AISE Lab and use AI-assisted tools and workflows to advance software engineering practices.
Build and deploy edge AI software or systems for operational environments (desired experience).
Publish and present research findings at leading conferences and journals (desired experience).
Craft, win, and execute research proposals or secure research funding (desired experience).
Travel to conferences, sponsor engagements, and strategic offsite meetings, approximately 10% of the time.