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The Carnegie Mellon SEI is seeking an AI Safety Lead to guide research and customer projects at the intersection of software engineering and AI safety. You will plan, execute, and deliver high-assurance AI-enabled software solutions, coordinate with SEI and CMU teams, and ensure customer satisfaction through performance and on-time delivery.
You will lead technical strategies, translate customer needs into actionable requirements, and drive a culture of technical excellence and innovation across
The SEI conducts research and development and advance software engineering practices. The SEI serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government organizations, and industry to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software that is defect free, within budget and on time, every time.
The Rapid Fielding of High Assurance (RFHAS) directorate conducts research and development activities to accelerate the fielding of software-reliant systems with high-assurance. This involves accelerating and automating the development cycle to support continuous development while at the same time connected with assurance techniques that incorporate formal models in a practical and scalable way. These techniques include Model-Based Systems Engineering and the automating power of AI for Software Engineering (SE) but also SE to exploit the power of AI with high confidence.
As an AI Safety Lead you will work closely with our researchers and engineers to lead, plan, and execute customer projects that address the challenges of exploiting AI in software development and also incorporating AI into software systems while ensuring its safe operation. You will ensure that the project performance meet expectations, the deliverables are on time, and the project meet the customer needs. You will partner across SEI technical and support staff to create a culture of technical excellence, creativity and innovation. You will also contribute to shape the approaches to field AI systems at the speed and trust of relevance.
Arlington, VA, Pittsburgh, PA
Software/Applications Development/Engineering
Staff - Regular Full time/Part time
Full time
Carnegie Mellon University is an Equal Opportunity Employer/Disabi