Senior Flight Autonomy Integration Engineer

Shield AI

Greater London

On-site

GBP 65,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Travel opportunities 30-40% annually
Competitive compensation

Job summary

Shield AI seeks a Flight Integration Engineer to bridge R&D and deployment for unmanned aircraft autonomy. You will integrate autonomy software onto UAS, oversee flight-ready builds, and support live flight operations in fast-paced test environments.

Applicants should have strong C++/Python skills, RTOS and Linux experience, and a background in sensor fusion and middleware frameworks. Travel up to 40% may be required in defense-related settings.

Qualifications

  • BS/MS in Computer Science, Electrical, Mechanical or Aerospace Engineering, or equivalent experience.
  • 7+ years of related experience (or 4y with PhD).
  • Proficient in C++ and Python; RTOS familiarity.
  • Linux-based development; embedded systems; shell scripts.

Responsibilities

  • Integrate autonomy software onto unmanned aircraft systems across compute, sensors, and control interfaces.
  • Own build, configuration, and validation for flight-ready systems; ensure mission readiness.
  • Provide on-site flight test support, safety checks, and troubleshooting under time constraints.
  • Diagnose and resolve integration issues across autonomy software stacks and embedded systems.
  • Manage flight data capture and post-test analysis with autonomy engineers for improvements.
  • Collaborate with autonomy, GNC, systems, and test teams to ensure reliability and timely delivery.

Skills

C++
Python
RTOS
Linux
ROS

Education

BS/MS in CS/EE/ME/Aerospace or equivalent

Tools

DDS

Job description

Shield AI seeks a Flight Integration Engineer to bridge R&D and deployment for unmanned aircraft autonomy. You will integrate autonomy software onto UAS, oversee flight-ready builds, and support live flight operations in fast-paced test environments.

Applicants should have strong C++/Python skills, RTOS and Linux experience, and a background in sensor fusion and middleware frameworks. Travel up to 40% may be required in defense-related settings.

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