Senior Engineer, Software - Autonomous Aircraft Integration

Shield AI

Washington, DC

JOB DETAILS
SKILLS
Aerospace Engineering, Analysis Skills, Artificial Intelligence (AI), Automation System Development, Avionics, C++ Programming Language, Campaigns, Communication Skills, Computer Science, Continuous Improvement, Control Systems, Data Analysis, Data Collection, Data Management, Debugging Skills, Develop Test Tools, Documentation, Electrical Engineering, Electronics, Embedded Software, Embedded Systems, Hardware Debugging, Identify Issues, Linux Operating System, Mechanical Engineering, Operational Support, Oracle Fusion Middleware, Performance Tuning/Optimization, Problem Solving Skills, Process Improvement, Product Demonstration, Programming Languages, Python Programming/Scripting Language, Realtime Operating System, Reliability Testing, Research & Development (R&D), Safety Systems, Secret Clearance, Simulation, Software Administration, Software Debugging, Software Engineering, System Integration (SI), System Test, System Validation, Systems Engineering, Team Player, Testing, Time Management, United States Department of Defense (DoD), Unix Shell Programming, Unmanned Aircraft Systems (UAS), Validation Testing, Willing to Travel
LOCATION
Washington, DC
POSTED
2 days ago

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 youll 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).

Required Qualifications:

• BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience 

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 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.

About the Company

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Shield AI