AI-Driven Software Engineering Researcher

Software Engineering Institute | Carnegie Mellon University

Pittsburgh (Allegheny County)

On-site

USD 120,000 - 160,000

Full time

36 hours ago
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Job summary

Software Engineering Institute | Carnegie Mellon University in Pittsburgh seeks an AI-Native Software Engineering Researcher to advance AI-driven approaches for industry-scale software engineering. You will conduct research, publish findings, and help shape strategies for AI-native workflows while collaborating with government, industry, and academia.

Eligible candidates will have a PhD with at least two years of experience, strong publication records, and the ability to mentor junior

Qualifications

  • Requires a PhD with at least two years of experience.
  • Willing to travel up to 25% to locations outside home site.
  • Subject to background investigation and ability to obtain a Department of War security clearance.
  • Experience leading research projects in novel areas.
  • Experience applying AI to improve research or software engineering progress.

Responsibilities

  • Conduct research applying AI to industry-scale software engineering problems.
  • Disseminate results to engineering teams and the broader research and software engineering community.
  • Help shape AI-native software engineering strategy through exploration of challenges such as metrics and debt.
  • Create or adapt practices and workflows to embed software engineering discipline.
  • Study cost implications of AI and balance AI with non-AI approaches.

Skills

Software fundamentals
Adaptability
Publications
Communication
Collaboration
Funding proposals
Mentoring

Education

PhD degree

Job description

Software Engineering Institute | Carnegie Mellon University in Pittsburgh seeks an AI-Native Software Engineering Researcher to advance AI-driven approaches for industry-scale software engineering. You will conduct research, publish findings, and help shape strategies for AI-native workflows while collaborating with government, industry, and academia.

Eligible candidates will have a PhD with at least two years of experience, strong publication records, and the ability to mentor junior

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