Candidate experiences and expectations:

• BS/MS in Computer Science, Electrical Engineering, Mechanical/Aerospace Engineering, and/or similar degree  
• 10+ years of industry experience in autonomy and UAS platforms (Defense Tech, Self-driving car, UAS platforms) 
• 7+ years of delivering software into production environments with high-reliability and high uptime (e.g., thousands of users, 99% uptime)  
• Understanding of the full robotics autonomy stack (e.g., controls, estimation, perception, planning, etc.)  
• Understanding of core machine learning concepts ranging from simple, binary supervised learning to the state-of-the-art in reinforcement learning   
• Understanding of software development processes and how to effectively deploy software to real world devices.  
• Understanding of autonomous behavior development and required sensor integration 
• Experience defining technical scope and managing technical requirements, product architectures, ICDs and other system level design documentation 
• Demonstrate problem solving skills by applying a scientific technical approach  
• Be a customer facing engineering leader supporting government and internally funded development programs 
• Contribute to government contract proposal writing 
• Excellent communication skills, both written and verbal  
• Excellent leadership skills, driving a team of 6-20 engineers 
• Ability to obtain a SECRET clearance


#LI-AC1