Autonomy AI Engineer — Simulation & Robotics Lead

Carnegie Mellon University; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical insurance

Retirement plan

Tuition benefits

PTO & holidays

Transit pass

Job summary

Carnegie Mellon University’s SEI AI Division seeks an Autonomy Engineer to shape and lead engineering research addressing U.S. government needs. The role focuses on enhancing simulation tools and applying them to autonomy and uncrewed systems.

Responsibilities include leading cross-disciplinary teams, prototyping applied AI, and shaping research strategy in collaboration with AI Division leaders. Onsite work in Pittsburgh or Arlington with travel.

Qualifications

• BS in Computer Science or related discipline with 8 years of experience as a baseline requirement
• MS in Computer Science or related field with 5 years of experience
• PhD in Computer Science with 2 years of experience

Responsibilities

• Lead interdisciplinary teams to translate research into prototype operational capabilities for government customers
• Lead prototyping in applied AI with focus on machine learning in autonomy and uncrewed systems
• Plan and execute a research and engineering strategy in collaboration with AI Division leaders
• Collaborate with software developers, researchers, designers, and technical leads to identify challenges and propose solutions
• Mentor and teach team members to improve technical capabilities and share insights across the division

Job description

Carnegie Mellon University’s SEI AI Division seeks an Autonomy Engineer to shape and lead engineering research addressing U.S. government needs. The role focuses on enhancing simulation tools and applying them to autonomy and uncrewed systems.

Responsibilities include leading cross-disciplinary teams, prototyping applied AI, and shaping research strategy in collaboration with AI Division leaders. Onsite work in Pittsburgh or Arlington with travel.