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Chief Engineer

Shield AI · London, United Kingdom

External listingfull-time4 days ago

About The Role

Join Shield AI as the Chief Engineer, where you will lead a team of engineers in developing and deploying advanced autonomy solutions for unmanned aircraft systems. You will be responsible for system architecture, design, development, risk mitigation, and product quality. This role offers excellent benefits, including medical coverage, mental health support, paid parental leave, and competitive compensation.

  • Assurer la réussite de l'intégration de l'autonomie Hivemind sur une gamme d'aéronefs, des aéronefs à hélice de groupe 2 aux jets de groupe 5.
  • Diriger une équipe d'ingénieurs pour livrer des capacités autonomes de pointe pour des contrats commerciaux et de défense.
  • Définir et assigner des objectifs techniques, prendre des décisions d'ingénierie clés et garantir la qualité et l'exhaustivité de tous les livrables techniques.
  • 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
  • Excellent leadership skills, driving a team of 6-20 engineers
  • 7+ years of delivering software into production/certifiable environments with high-reliability
  • Understanding of guidance, control and navigation (GNC) (e.g. controls, estimation, planning)
  • Contribute to government contract proposal writing
  • Experience defining technical scope and managing technical requirements, product architectures, ICDs and other system level design documentation
  • Understanding of software development processes and how to effectively deploy software
  • Demonstrate problem solving skills by applying a scientific technical approach
  • BS/MS in Computer Science, Electrical Engineering, Mechanical/Aerospace Engineering, and/or similar degree
  • Customer-facing engineering leader supporting both defense and internally funded development programs
  • Excellent communication skills, both written and verbal
  • Understanding of robotics stack (e.g., controls, estimation, perception, planning, etc.)
  • 10+ years of industry experience in autonomy and/or UAS platforms (e.g., defense tech, self-driving car, etc.)
  • UK security clearance

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