Senior AI-Native Software Engineering Researcher

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 engineeringdistill best practices and lessons from experiments and experience to shape AI-native software engineeringpilot and transition improvements with organizations and measure their successcreate novel agents and agentic workflows to support software engineeringapply AI to accelerate architecture-scale modernizationhelp organizations establish AI-native software engineering practicesguide 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 ResearcherAs 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 agentsestablishing metrics that help organizations understand their use of AI in development and guiding them through improvementsidentifying 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 workflowscreating or adapting practices and workflows to embed software engineering disciplinestudying 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 AbilitiesComprehensive knowledge of software engineering fundamentalsAbility to keep up with and adapt to rapidly changing technical advancesA track record of conducting research and applying scientific methods to solve difficult problemsStrong written and verbal communication skills; ability to convey complex technical ideas in a layperson’...