Chief Engineer, Autonomy (R3568)

Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise-EdgeOS, Pilot, Commander, and Forge-as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI's technology actively supports U.S. and allied operations worldwide. For more information, visit Follow Shield AI on LinkedIn, X and Instagram.

The Chief Engineer at Shield AI is responsible for solving complex technical challenges in deploying advanced autonomy solutions on Unmanned Aircraft Systems (UAS).

As the chief authority on system architecture, design, development, risk mitigation, and product quality the Chief Engineer ensures the successful integration of Hivemind Autonomy across a range of aircraft, from small UAS to large autonomous collaborative platforms.

This role is part of the Hivemind Solutions organization and leads a team of team of engineers to deliver cutting-edge autonomous capabilities for business-to-business and defense contracts. The ideal candidate has defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems.

WHAT YOU'LL DO:

• Serve as the Chief Engineer on Shield AI projects focused on developing and deploying autonomy solutions for unmanned aircraft
• Lead a team responsible for advancing Hivemind Autonomy and shaping Department of Defense (DoD) autonomy architectures.
• Define and assign technical objectives, make key engineering decisions, and ensure the quality and completeness of all technical deliverables
• Provide technical leadership and oversight across both Internal Research and Development (IRAD) initiatives and DoD contracts.

REQUIRED QUALIFICATIONS:

• 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/certifiable environments with high-reliability
• Understanding of guidance, control and navigation (GNC) (e.g. controls, estimation, planning)
• Understanding of robotics stack (e.g., controls, estimation, perception, planning, etc.)
• Understanding of software development processes and how to effectively deploy software
• 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
• Customer-facing engineering leader supporting both defense 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

$200,319 - $300,479 a year

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Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.