Carnegie Mellon University

Senior AI-Native Software Engineering Researcher

Carnegie Mellon University$125K — $150K *
Education, Government & Non-Profit
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • PhD with 5+ years of relevant experience
  • Strong expertise in software engineering fundamentals
  • Proven track record of conducting research and applying scientific methods
  • Excellent written and verbal communication skills
  • Experience publishing in top-tier peer-reviewed venues
  • Strong collaboration skills with colleagues and sponsors
  • Proficiency in writing funding proposals or pitching new research ideas

Responsibilities

  • Conduct research on AI applications in software engineering
  • Guide industry and government teams in adopting AI practices
  • Establish metrics for evaluating AI use in development
  • Identify and address gaps in AI workflows
  • Create novel agents and workflows to enhance software engineering
  • Study cost implications of AI and develop efficiency strategies
  • Disseminate research findings to the engineering community

Benefits

  • Opportunity to work with world-class software engineers and researchers
  • Potential for travel to national and global sites
  • Engagement with cutting-edge AI technology
  • Mentorship and guidance opportunities for junior team members
  • Collaborative work environment with industry partners
Full Job Description

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 five (5) years of relevant 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

Location

Pittsburgh, PA

Job Function

Software/Applications Development/Engineering

Position Type

Staff – Regular

Full time/Part time

Full time

Pay Basis

Salary

About Carnegie Mellon University

Carnegie Mellon University is a private research university that was founded in 1900. The university is located in Pittsburgh, Pennsylvania and is known for its programs in computer science, engineering, and the arts. Carnegie Mellon has a diverse student body and offers undergraduate and graduate programs in a variety of fields. The university has a strong focus on research and has partnerships with a number of companies and organizations. Carnegie Mellon is consistently ranked among the top universities in the United States.
Learn more about Carnegie Mellon University
Size
14,000 employees
Industry

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