Shield AI

4 weeks ago

Autonomy Integration Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Join Shield AI as an Autonomy Integration Engineer to deploy and integrate autonomy software on unmanned aircraft, lead pre-flight preparation, support live flight tests, and debug hardware/software stacks across lab and field environments. You'll collaborate with autonomy, GNC, systems, and test teams, travel 30-40% of the year, and drive continuous improvement and certification readiness for defense-relevant applications.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
•Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
•On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
•Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
•Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.

Travel: High travel

Key Requirements

•BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar; or equivalent practical experience.
•Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
•Proficiency in C++ and Python; familiarity with real-time operating systems (RTOS).
•Proficiency in Linux-based development and experience with embedded systems, shell scripting, and system diagnostics.
•Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)

Experience:7+ yearsDefenseAerospaceUnmanned systems

Education:Bachelor's

Skills:CommunicationTeamworkProblem-solvingLinuxC++PythonRTOSROSDDSShell scriptingEmbedded systemsDiagnostics

Tech Stack:C++PythonRTOSLinuxROSDDSShell scriptingEmbedded systems

Company Brief

Shield AI

Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn

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Shield AI

4 weeks ago

Autonomy Integration Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•System Integration & Deployment — Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
•Pre-flight Preparation — Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
•On-site Flight Test Support — Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
•Hardware/Software Debugging — Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
•Flight Data Capture & Analysis — Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.

Travel: High travel

Key Requirements

•BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, or similar; or equivalent practical experience.
•Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
•Proficiency in C++ and Python; familiarity with real-time operating systems (RTOS).
•Proficiency in Linux-based development and experience with embedded systems, shell scripting, and system diagnostics.
•Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS)

Experience:7+ yearsDefenseAerospaceUnmanned systems

Education:Bachelor's

Skills:CommunicationTeamworkProblem-solvingLinuxC++PythonRTOSROSDDSShell scriptingEmbedded systemsDiagnostics

Tech Stack:C++PythonRTOSLinuxROSDDSShell scriptingEmbedded systems

Company Brief

Shield AI

Industry: Defense Technology

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series E+

Headquarters: San Diego, United States

Founded: 2015

Website LinkedIn