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Job at Carnegie Mellon University

AI-Native Software Engineering Researcher

Employer
Carnegie Mellon University
Location
Pittsburgh, PA
Workplace
Not supplied
Employment
full-time
Published
First listed on USASI

Apply on Carnegie Mellon University’s site (external site)

This posting comes from Carnegie Mellon University’s own Workday job board. USASI checks that board twice a day and removes this page once the employer closes the posting. The description below is Carnegie Mellon University’s text as published; USASI does not edit it, does not recruit, and does not take applications. How jobs are collected.

Job description

The future of software engineering is AI-native. Our team works to shape that future through pioneering research, practical engineering methods, and close collaboration with government, industry, and academia.

At the AI-Native Software Engineering Directorate, we focus on how today's engineering teams can quickly exploit emerging technologies and harness AI capabilities to create and evolve software quickly without losing fundamental software qualities.

To address this new world, we :

  • study and guide industry and government teams’ use of AI in software engineering
  • distill best practices and lessons from experiments and experience to shape AI-native software engineering
  • pilot and transition improvements with organizations and measure their success
  • create novel agents and agentic workflows to support software engineering
  • apply AI to accelerate architecture-scale modernization
  • help organizations establish AI-native software engineering practices
  • guide organizations in evolving their software with architecture and AI-native approaches

Our overarching goal is to create new workflows and tools that enable AI-paced delivery of software without loss of quality. We're seeking candidates with a demonstrated track record who are motivated to shape AI-native software engineering.

AI-Native Software Engineering Researcher

As an AI-Native Software Engineering Researcher, you will focus on conducting research in application of AI to industry and government scale software engineering problems, applying your research in government and industry settings, and disseminating results to engineering teams and the broader research and software engineering community. You will help shape our AI-Native Software Engineering strategy through exploration of challenges such as:

  • assessing the rapidly changing capabilities of AI models and coding agents
  • establishing metrics that help organizations understand their use of AI in development and guiding them through improvements
  • identifying gaps in AI workflows that result in unnecessarily poor outcomes (e.g., excessive technical debt, bad architecture decisions, or frequent rework loops)
  • creating novel agents or agentic workflows
  • creating or adapting practices and workflows to embed software engineering discipline
  • studying the cost implications of AI and developing strategies for more efficient use of AI (e.g., context management, token management, and balancing use of AI with non-AI approaches)

You will have the opportunity to work with world class software engineers, researchers, and data scientists working on national and global scale problems.

Knowledge, Skills and Abilities

  • Comprehensive knowledge of software engineering fundamentals
  • Ability to keep up with and adapt to rapidly changing technical advances
  • A track record of conducting research and applying scientific methods to solve difficult problems
  • Strong written and verbal communication skills; ability to convey complex technical ideas in a layperson’s terms
  • Demonstrated track record publishing in top tier peer-reviewed venues
  • Strong collaboration skills for working with colleagues and sponsors
  • Proficiency in writing funding proposals or pitching ideas for new research projects
  • Willingness and ability to guide and mentor junior team members

Requirements

  • A PhD with at least two (2) years of experience.
  • You will be subject to a background investigation and you must be able to obtain and maintain a Department of War security clearance.
  • Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Washington, D.C., sponsor sites, and conferences.

Desired Experience

  • Experience leading research projects in novel areas
  • Successful application of AI to improve research or software engineering progress
  • Experience working with software engineering teams on large industry or government projects
  • Experience working with leadership to plan, develop, and deliver an overall technical strategy

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible (external site) employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance (external site) as well as a generous retirement savings program (external site) with employer contributions. Unlock your potential with tuition benefits (external site), take well-deserved breaks with ample paid time off (external site) and observed holidays (external site), and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team (external site) to help navigate childcare needs, fitness center access (external site), and much more!

For a comprehensive overview of the benefits available, explore our Benefits page (external site).

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/Applications Development/Engineering

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information:

Apply on Carnegie Mellon University’s site (external site)

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