Autonomy AI Engineer - Simulation & Robotics

Carnegie Mellon University; Arlington (VA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Retirement Benefits

Tuition Benefits

Paid Time Off

Life Insurance

Transit Pass

Job summary

Carnegie Mellon University’s SEI AI Division seeks an autonomy engineer to lead and conduct engineering research for government needs. You will focus on enhancing simulation capabilities and applying tools to autonomy-related projects, partnering with interdisciplinary teams to turn research into prototype operational capabilities for defense customers.

You will mentor teammates, contribute to software design sessions, and drive execution across software, hardware, and AI pipelines using modern

Qualifications

• Extensive research or engineering in applied autonomy and AI.
• Experience with ML for autonomy and uncrewed systems.
• Strong systems engineering background across lifecycle stages.

Responsibilities

• Lead interdisciplinary teams to turn research into prototype capabilities for government customers.
• Conduct and lead prototyping in AI for autonomy and uncrewed systems.
• Plan and execute a research and engineering strategy aligning with national defense needs.
• Collaborate with researchers, government customers, and stakeholders to define challenges and directions.
• Mentor team members and contribute to design sessions and knowledge sharing.

Skills

Deep Technical Knowledge

Modeling & Simulation

Robotics & Autonomy

Machine Learning

System Evaluation

Applied Full-Stack Implementation

Communication and Collaboration

Dedication

Creativity and Innovation

Knowledge and Learning

Docker

MLFlow

Weights & Biases

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

PhD in Computer Science

Tools

NVIDIA Issac Sim

Docker

Azure

AWS

GCP

Job description

Carnegie Mellon University’s SEI AI Division seeks an autonomy engineer to lead and conduct engineering research for government needs. You will focus on enhancing simulation capabilities and applying tools to autonomy-related projects, partnering with interdisciplinary teams to turn research into prototype operational capabilities for defense customers.

You will mentor teammates, contribute to software design sessions, and drive execution across software, hardware, and AI pipelines using modern