Shield AI

3 days ago

Senior Autonomy Integration Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Integrate autonomy software onto unmanned aircraft systems, coordinating deployment across onboard compute, sensors, and control interfaces. Own the build, configuration, validation, and troubleshooting of flight-ready systems in both lab and field environments, including live flight test support. Capture and analyze flight data to refine behaviors and improve reliability. Partner with autonomy, GNC, systems, and test teams, and support documentation needed for certification and compliance while traveling 30–40% of the year.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Integrate autonomy software onto unmanned aircraft systems across onboard compute, sensors, and control interfaces.
•Own build, configuration, and validation for flight-ready systems, coordinating hardware/software compatibility and mission readiness.
•Support on-site flight tests by traveling to test sites, performing safety checks, system bring-up, and troubleshooting under time-critical constraints.
•Diagnose and resolve hardware/software integration issues across autonomy software stacks and embedded systems in lab and field environments.
•Capture and analyze flight data, collaborating with autonomy engineers to refine behaviors and improve system performance; support certification and compliance documentation.

Travel: High travel

Key Requirements

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

Experience:7+ yearsUnmanned aerial systemsAutonomyFlight testingEmbedded systemsDefense

Education:Bachelor's in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar

Skills:Problem-solvingCommunicationTeamworkSystems thinking

Tech Stack:C++PythonRTOSLinuxShell scriptingROSDDSSensor integrationSensor fusionSimulation toolsAvionics

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

3 days ago

Senior Autonomy Integration Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Integrate autonomy software onto unmanned aircraft systems across onboard compute, sensors, and control interfaces.
•Own build, configuration, and validation for flight-ready systems, coordinating hardware/software compatibility and mission readiness.
•Support on-site flight tests by traveling to test sites, performing safety checks, system bring-up, and troubleshooting under time-critical constraints.
•Diagnose and resolve hardware/software integration issues across autonomy software stacks and embedded systems in lab and field environments.
•Capture and analyze flight data, collaborating with autonomy engineers to refine behaviors and improve system performance; support certification and compliance documentation.

Travel: High travel

Key Requirements

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

Experience:7+ yearsUnmanned aerial systemsAutonomyFlight testingEmbedded systemsDefense

Education:Bachelor's in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar

Skills:Problem-solvingCommunicationTeamworkSystems thinking

Tech Stack:C++PythonRTOSLinuxShell scriptingROSDDSSensor integrationSensor fusionSimulation toolsAvionics

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