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
Location
- Pittsburgh, PA
- Job Function
- Software/Applications Development/Engineering
- Position Type
- Staff – Regular
- Full time/Part time
- Full time
- Pay Basis
- Salary
- More Information:
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Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
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