Why This Role Stands Out
This hybrid role offers a unique opportunity to pioneer the future of AI-native software engineering, contributing to cutting-edge research and practical applications that shape industry practices. You'll thrive here if you're a motivated mid-senior engineer with a passion for innovation and a desire to develop advanced AI capabilities within a collaborative, mission-driven environment. Apply now to be at the forefront of this exciting technological evolution.
Quick Overview
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
- 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)
- 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
- 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.
- 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
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
Salary
More Information:
- Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
- Click here to view a listing of employee benefits
- Carnegie Mellon University is an
Equal Opportunity Employer/Disability/Veteran .
- Statement of Assurance
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