This listing doesn't post a salary. Most similar roles pay
$169,050–$246,825.
Based on 240 similar postings.
Employer
About Carnegie Mellon University
Carnegie Mellon University is a leading private research university in Pittsburgh, Pennsylvania, internationally recognized for programs in computer science, engineering, business, the arts, and artificial intelligence. Industry: Higher Education & Research
Carnegie Mellon University currently has
17 open roles
on FindRole.
The AI and Software Engineering Research Scientist — Edge Software Systems joins the Tactical Edge and AI-Enabled Systems initiative within the AI-native Software Engineering directorate. This role involves developing, maturing, and prototyping technologies to transition them to government and industry organizations. The researcher will balance short-term customer needs with long-term goals, focusing on edge AI in DDIL environments, edge intelligence, the edge-to-cloud continuum, UaX-Edge collaboration, and software engineering for agentic AI systems. Key responsibilities include representing technical work to stakeholders and advancing the AISE Lab's research on AI-assisted tools and processes. Candidates must possess a PhD in computer science, software engineering, or machine learning, along with empirical research skills and experience engineering edge software systems in research or operational environments.
Develop, mature, and prototype technologies for tactical edge and AI-enabled systems.
Transition developed technologies to government and industry organizations for operational use.
Develop and apply software solutions to meet short-term customer needs and long-term technical goals.
Research edge AI in degraded, disconnected, intermittent, and limited (DDIL) environments.
Advance software engineering methods for AI-enabled systems, including agentic AI systems.
Research and implement state-of-the-art AI-assisted tools and processes for software engineering.
Represent technical work and research outcomes to customers, stakeholders, and the academic community.
What we're looking for
PhD in computer science, software engineering, machine learning, or a related discipline.
Two or more years of full-time professional experience engineering edge software systems in a research environment.
Eight 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.
Ability to work onsite at the SEI office in Pittsburgh, 5 days per week.
Must be eligible to obtain and maintain a Department of Defense security clearance.
Development and deployment of edge software systems into operational environments (preferred).
AI
HPC
GPU Computing
Distributed Computing
Linux
GitHub
Performance Analysis
Heterogeneous Systems
Supercomputing
Model Training
Inference
open-source
Numerical Methods