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Carnegie Mellon University’s SEI seeks an AI Safety Lead to guide research and customer projects focused on safe AI in software systems. You will ensure delivery aligns with customer needs, quality standards, and timelines while collaborating across SEI and CMU teams to foster technical excellence and innovation.
You will lead strategic planning, engage with customers, and help shape field AI systems for speed and trust, advancing national security through rigorous engineering practices.
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 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.
In conjunction with the leadership team, you will:
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.
Arlington, VA, Pittsburgh, PA
Software/Applications Development/Engineering
Staff – Regular
Full time
Salary