AI-Driven Software Engineering Researcher

Software Engineering Institute | Carnegie Mellon University

Pittsburgh (Allegheny County)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

Software Engineering Institute | Carnegie Mellon University in Pittsburgh seeks an AI-Native Software Engineering Researcher to investigate applying AI to large-scale software engineering problems in government and industry, and to translate findings into engineering practice.

You will collaborate with world-class software engineers, researchers, and data scientists, publish in top venues, and help shape SEI's AI-native strategy while mentoring junior team members and guiding project teams.

Qualifications

  • PhD with at least two years of research experience.
  • Proven ability to conduct research and apply scientific methods.
  • Strong writing and verbal communication skills.
  • Record of publishing in top-tier peer-reviewed venues.
  • Ability to collaborate with sponsors and teams across disciplines.
  • Experience mentoring junior researchers and guiding projects.

Responsibilities

  • Conduct research on AI applications to industry and government-scale software engineering problems.
  • Apply research results to real-world government and industry settings and disseminate results.
  • Contribute to SEI AI-native software engineering strategy and roadmaps.
  • Collaborate with software engineers, researchers, and data scientists.
  • Mentor junior team members and help plan and deliver technical strategy.

Skills

Software engineering fundamentals
Adapt to changes
Research methods
Technical communication
Peer-reviewed publications
Collaboration
Grant writing
Mentoring

Education

PhD

Job description

Software Engineering Institute | Carnegie Mellon University in Pittsburgh seeks an AI-Native Software Engineering Researcher to investigate applying AI to large-scale software engineering problems in government and industry, and to translate findings into engineering practice.

You will collaborate with world-class software engineers, researchers, and data scientists, publish in top venues, and help shape SEI's AI-native strategy while mentoring junior team members and guiding project teams.

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