Senior AI-Native Software Engineering Researcher

Carnegie Mellon University

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Quick summary

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

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How this pay compares to similar roles

Similar $178k
$108k most similar roles pay here $242k

This listing doesn't post a salary. Most similar roles pay $149,500–$206,450.

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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 17 open roles on FindRole.

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At a glance

TL;DR · Senior AI-Native Software Engineering Researcher

The Senior AI-Native Software Engineering Researcher joins the AI-Native Software Engineering Directorate to shape the future of software engineering through pioneering research and practical engineering methods. You will conduct research on applying AI to industry and government scale software engineering problems, creating novel agents and agentic workflows, and establishing metrics to assess AI model capabilities. Your daily work involves identifying gaps in AI workflows, studying cost implications like token management, and developing strategies for architecture-scale modernization. You must possess comprehensive knowledge of software engineering fundamentals, a track record of publishing in top tier peer-reviewed venues, and the ability to apply scientific methods to solve difficult problems. This role addresses the technical challenge of enabling AI-paced software delivery without sacrificing fundamental software qualities or architectural integrity.

What you'll do

  • Conduct research on applying AI to large-scale industry and government software engineering problems.
  • Create novel AI 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 lead to 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 five years of relevant 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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