Chief Engineer, Autonomy (R4614)
AI summary of the role
Chief Engineer leading the technical vision and execution for deploying Hivemind autonomy on unmanned aircraft systems within the Hivemind Solutions organization.
What you’ll do
- Serve as Chief Engineer on projects developing and deploying autonomy solutions for unmanned aircraft
- Lead a team advancing Hivemind Autonomy and shaping DoD autonomy architectures
- Define technical objectives, make key engineering decisions, and ensure quality of technical deliverables
- Provide technical leadership across IRAD initiatives and DoD contracts
What you’ll bring
- BS/MS in CS, EE, Mechanical/Aerospace Engineering or similar
- 10+ years industry experience in autonomy and/or UAS platforms
- 7+ years delivering software into production/certifiable environments with high reliability
- Understanding of GNC and robotics stack (controls, estimation, perception, planning)
Technologies
Hivemind Autonomy · UAS · GNC · robotics stack · controls · estimation · perception · planning · ICDs
About Shield AI
Builds AI pilot software, aircraft, and vision systems that let militaries and OEMs develop, deploy, and operate mission autonomy in contested environments.
Unicorn
Source and classification
Internal deployment & tooling · Evidence for this classification:
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 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,
More from the job description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 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 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 [... source excerpt omitted ...] ompleteness 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 [... source excerpt omitted ...] ng 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 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) S
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