Autonomy Engineer

Responsibilities

• identify, shape, apply, conduct, and lead engineering research
• enhance simulation capabilities and apply tools to support autonomy-related projects
• work with and lead interdisciplinary teams to turn research results into prototype operational capabilities
• conduct and lead novel prototyping in applied artificial intelligence with a focus on machine learning
• collaborate with researchers, government customers, and stakeholders
• contribute to improving technical capabilities by mentoring and teaching others

• BS in Computer Science or related discipline with eight (8) years of experience
• MS in the same fields with five (5) years of experience
• PhD in Computer Science with two (2) years of experience
• deep technical knowledge in applied autonomy and artificial intelligence
• experience with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision
• modeling & simulation expertise in using simulators for development, ML model training, and evaluation activities supporting uncrewed vehicle use cases
• strong understanding of robotics principles and design techniques for various vehicles
• proven understanding of machine learning principles and real-world application
• strong development experience in software and systems resources for AI and ML prototypes
• strong written and verbal communication skills

Demonstrates expertise in applied autonomy and artificial intelligence, with a strong focus on machine learning and prototyping for uncrewed vehicle applications. Capable of leading interdisciplinary teams and enhancing simulation capabilities while mentoring others in technical skills.