AI-Native Software Engineering Researcher

Carnegie Mellon University

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Work type
On-site
Location
Pittsburgh, PA
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live today

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Similar $178k
$120k $225k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $142,400–$214,000.

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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 71 open roles on FindRole.

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At a glance

TL;DR · AI-Native Software Engineering Researcher

The AI-Native Software Engineering Researcher joins the AI-Native Software Engineering Directorate to shape the future of software development through pioneering research and practical engineering methods. You will conduct research on applying AI to industry and government scale software engineering problems, focusing on creating novel agents and agentic workflows. Day-to-day responsibilities include assessing AI model capabilities, establishing metrics for development, identifying workflow gaps that cause technical debt, and studying cost implications like context and token management. You must possess comprehensive knowledge of software engineering fundamentals, a PhD with at least two years of experience, and a track record of publishing in top tier peer-reviewed venues. The role solves the technical problem of enabling AI-paced software delivery without losing fundamental software qualities or architectural integrity.

What you'll do

  • Conduct research on applying AI to industry and government scale software engineering problems.
  • Create novel agents and agentic workflows to support software engineering tasks.
  • Establish metrics to help organizations understand and improve their use of AI in development.
  • Identify gaps in AI workflows that result in technical debt or poor architectural decisions.
  • Develop strategies for efficient AI use, including context and token management.
  • Pilot and transition AI-native software engineering improvements with external organizations.
  • Create and adapt practices to embed software engineering discipline into AI workflows.
  • Guide organizations in evolving their software using architecture and AI-native approaches.

What we're looking for

  • A PhD with at least two (2) years of experience.
  • Ability to obtain and maintain a Department of War security clearance.
  • Comprehensive knowledge of software engineering fundamentals.
  • Track record of conducting research and applying scientific methods to solve difficult problems.
  • Demonstrated track record of publishing in top-tier peer-reviewed venues.
  • Strong written and verbal communication skills to convey complex technical ideas to laypeople.
  • Proficiency in writing funding proposals or pitching ideas for new research projects.
  • Experience leading research projects in novel areas (preferred).

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