As a Senior AI Platform Developer, you will build and operate scalable backend services, ensuring reliable AI product delivery and enhancing performance across the AI stack.
Senior Autonomy Integration Engineer
📅 Jul 27
C++PythonRTOSLinux
📜 Description
- Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
- Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
- Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
- Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
- Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
- Collaborate with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time.
🛠️ Requirements
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, 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 programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
- Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics.
- Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
- Hands-on experience supporting flight demos or live exercises.
- Experience with simulation tools and environments for testing and validation.
- Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
- Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.
- Direct experience supporting unmanned aerial systems or similar flight test campaigns.
Full job description
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.
The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.
What you'll do:
Required qualifications:
Preferred Qualifications:
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