AI Safety Lead: High-Assurance Software Strategy

Carnegie Mellon University

Virginia

On-site

USD 150,000 - 190,000

Full time

7 days ago

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Job summary

Carnegie Mellon University’s Software Engineering Institute in Arlington, VA (and Pittsburgh, PA) seeks an AI Safety Lead to guide AI safety projects in software development, ensuring safe operation and alignment with customer needs. You will collaborate with researchers, engineers, and sponsors to deliver technically excellent solutions on time.

You will lead planning, coordinate across SEI and CMU support functions, present risk assessments to stakeholders, and shape future directions in AI

Qualifications

BS in Computer Science or Electrical Engineering or related field with 10 years of experience.
MS in the same fields with 8 years of experience.
PhD in the same fields with 5 years of experience.

Responsibilities

Develop AI Safety technical solution strategies.
Lead the planning and execution of AI Safety projects ensuring plans are sound and aligned with state of the art and customer expectations.
Coordinate across SEI and CMU support functions to ensure project teams have what they need to execute.
Serve as a primary technical liaison to customers conducting regular project reviews to ensure the project meets their needs and adjust accordingly.
Contribute to strategic planning using customer feedback and project performance data to develop future technical directions.
Represent the RFHAS technical portfolio in AI and AI Safety with customers and internal collaborators.