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Shield AI

Builds autonomous aircraft for defense

Autonomy Software Integration & Test Engineer - Autonomy Software Integration & Test

Embedded EngineeringUpdated on Nov 11
Full-timeLviv, UkraineNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Robotics, Aerospace Engineering, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent practical experience.
  • At least 3 years of experience developing and integrating software for robotics, autonomy, aerospace, embedded systems, or related technical fields.
  • Strong software engineering experience in C++ and Python, including development, debugging, and system integration.
  • Experience contributing to complex software systems in robotics, autonomy, aerospace, embedded systems, or related domains.
  • Experience with Linux-based systems and development environments.
  • Hands-on experience integrating and troubleshooting hardware and software systems.
  • Experience supporting field testing, flight testing, demonstrations, or operational exercises.
  • Familiarity with MAVLink, PX4, ArduPilot, QGroundControl, or related unmanned systems technologies.
  • Experience debugging distributed or cross-disciplinary systems involving software, networking, sensors, radios, onboard compute, and mission systems.
  • Ability to operate independently in fast-paced environments and work across disciplines.
  • Ability to travel within Ukraine as required.

Responsibilities

  • Develop and contribute production-quality software features and capabilities for autonomous systems.
  • Design, implement, debug, and maintain software components supporting autonomy, mission execution, system integration, and flight operations.
  • Integrate autonomy software onto fixed-wing, multirotor, and other unmanned or autonomous systems.
  • Develop internal tools, automation, telemetry analysis pipelines, and test infrastructure in C++ and Python.
  • Support software bring-up, system configuration, and mission readiness for flight operations.
  • Debug and troubleshoot issues across autonomy software, onboard compute, radios, networking, sensors, flight controllers, and mission systems.
  • Support simulation, software-in-the-loop, hardware-in-the-loop, vehicle-in-the-loop, ground testing, and live flight test activities.
  • Support field demonstrations and operational test events, including pre-flight setup, system validation, troubleshooting, and post-flight analysis.
  • Operate and troubleshoot Ground Control Stations and mission support systems.
  • Capture, analyze, and review flight and system data to support root cause analysis and system improvements.
  • Work closely with autonomy, systems, hardware, and flight test teams to rapidly integrate and validate new capabilities.
  • Support rapid software iteration and operational testing in dynamic startup and field environments.
  • Contribute to operational documentation, test procedures, integration workflows, and deployment readiness activities.
  • Travel to test sites and support field operations as required.

Desired Qualifications

  • Experience supporting autonomous aircraft or unmanned systems.
  • Experience with software-in-the-loop, hardware-in-the-loop, vehicle-in-the-loop, simulation, or flight test environments.
  • Familiarity with Robot Operating System, Data Distribution Service, embedded systems, or real-time systems.
  • Experience with radio-frequency communications, datalinks, and networking systems.
  • Experience supporting live flight demonstrations or operational deployments.
  • Familiarity with flight controllers, avionics systems, and aircraft integration.
  • Experience building internal tools for testing, automation, telemetry analysis, or operational support.
  • Background in defense, robotics, aerospace, or autonomous systems.
  • Ukrainian and English language proficiency.
  • Experience operating in fast-paced and dynamic field environments.

About the Company

Shield AI

Builds autonomous aircraft for defense

Shield AI builds autonomous aircraft and flight software for military and allied defense customers, with a focus on operations where conventional remote control breaks down. Its Hivemind AI pilot handles decisions during a mission, while the V-BAT aircraft gathers intelligence and locates targets. Aircraft makers use its software tools to develop and test their own autonomy, and its Aechelon business supplies visual and sensor simulation for pilot training. The company earns money from aircraft sales, autonomy software and contracted engineering and operational services. Shield AI was founded in 2015 and is headquartered in San Diego, California.

Company size
1,001-5,000
Company stage
Series H
Total funding
$4.8B
Headquarters
San Diego, CA
Founded
2015

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