AI and Software Engineering Research Scientist — Edge Software Systems
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Senior
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 …
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Pittsburgh, Pennsylvania, United States · On-site
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AI and Software Engineering Research Scientist — Edge Software Systems
Develop, prototype, and transition AI and edge software technologies to government and industry organizations. Advance research in edge AI, edge-to-cloud continuum, and software engineering for AI-enabled systems.
Requirements
Requires a PhD in computer science or related field with 2+ years of edge software experience, or 8 years of equivalent professional experience. Must possess strong empirical research skills and be eligible for a Department of Defense security clearance.
Full job description
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.
.
Joining the CMU team opens the door to an array of exceptional benefits.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Pittsburgh, PA
Job Function
Software/ApplicationsDevelopment/Engineering
Position Type
Staff – Regular
Full Time/Part time
Full time
Pay Basis
Salary
More Information:
Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world.
The Language Technologies Institute at the Carnegie Mellon University School of Computer Science educates the leaders of tomorrow and performs groundbreaking research in the areas of Natural Language Processing and Computational Linguistics; Information Extraction, Summarization & Question Answering; Information Retrieval, Text Mining & Analytics; Knowledge Representation, Reasoning & Acquisition; Language Technologies for Education; Machine Learning; Machine Translation; Multimodal Computing and Interaction; Speech Processing; and Spoken Interfaces & Dialogue Processing.
Offices: Carnegie Mellon University, School of Computer Science, Language Technologies Institute, Gates Hillman Complex, 5000 Forbes Avenue, GHC 5404, Pittsburgh, Pennsylvania 15213-3891, US