Full-Time

Chief Engineer

Updated on 4/18/2024

Shield AI

Shield AI

501-1,000 employees

Develops autonomous AI pilots for military aircrafts

AI & Machine Learning
Aerospace

Senior, Expert

Washington, DC, USA

Requirements
  • BS/MS in Computer Science, Electrical Engineering, Mechanical/Aerospace Engineering, and/or similar degree
  • 10+ years of industry experience in autonomy and/or UAS platforms (e.g., defense tech, self-driving car, etc.)
  • 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
  • The ability to obtain and maintain a US Security Clearance. US citizenship is required as only US citizens are eligible for a security clearance.
Responsibilities
  • Solving complex technical problems associated with deployment of advanced autonomy solutions on Group 5 Unmanned Aircraft Systems (UAS)
  • Driving day-to-day execution in collaboration with the Project Management and leading an engineering team
  • Assigning technical objectives, making key decisions, and approving the quality and completeness of the technical output
  • Supporting both IRAD and Department of Defense contracts
  • Contribute to government contract proposal writing
  • Being a customer facing engineering leader supporting government and internally funded development programs

Shield AI, a leader in AI for aviation, has a proven track record of technical innovation, with its Hivemind autonomy stack being the world's first autonomous AI Pilot deployed in combat since 2018. The company's culture is rooted in its mission to protect service members and civilians, and it has been recognized by Forbes, CB Insights, and Fast Company for its industry leadership. With a competitive edge backed by top-tier Silicon Valley VC funds, Shield AI offers a unique opportunity to work on cutting-edge AI technology in aviation.

Company Stage

Series F

Total Funding

$940.7M

Headquarters

San Diego, California

Founded

2015

Growth & Insights
Headcount

6 month growth

13%

1 year growth

33%

2 year growth

118%

Benefits

Medical Insurance Coverage

Long Term Disability Insurance

Health Care FSA and Dependent Care FSA

Employee Assistance Program

Subsidized Gym Membership

Pet Insurance

Competitive Compensation

Retirement Services

Life Insurance

Parental Leave

Bereavement Support

Flexible Work Hours

PTO

Paid Holidays

Commuter Benefits

Relaxed Dress Code

Yearly Swag Items

Unlimited Snacks

Bottomless Beverages

Annual Celebrations

Work From Home Benefits

Standing Desks and Widescreen Monitors