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# Staff Engineer, Software - Autonomous Aircraft Integration (R4983)

- **Company:** Shield AI
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Systems Engineering, C++ (Programming Language), Software Debugging, Linux, Middleware, Python (Programming Language), Performance Tuning, Real-Time Operating Systems, Sensor Fusion, Shell Script, System Testing, Systems Integration, Data Logging, SC Clearance, Information Technology, Build Tools
- **Published:** October 21, 2026
- **Apply:** https://www.thejobnetwork.com/job/889ddf20-983a-4fe5-8cc8-a6290dda0e8b/staff-engineer-software-autonomous-aircraft-integration-r

## About the Role

* 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 (e.g., AFSIM, NGTS) 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.
 * Ability to obtain a SECRET clearance.

Preferred Qualifications:

 * Direct experience supporting unmanned aerial systems or similar flight test campaigns.
 * Familiarity with autonomy stacks, flight control systems, or GNC pipelines.
 * Competence in sensor integration, electronics debugging, or avionics bring-up.
 * Proficiency in developing automation tools for system testing, logging, and data parsing.
 * Comfortable interfacing with DoD stakeholders during field events or technical reviews.
 * Experience with UCI and OMS Standards.

## Description

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. Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. 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:

 * 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.
 * Collaboration Across Teams - Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
 * Continuous Improvement - Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
 * Support Certification and Compliance - Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments.
 * Travel Requirement - Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events).