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Senior Engineer, Software - Autonomous Aircraft Integration (R3949)
Shieldai
Washington, USA
Full-time
Senior · 5+ years experience
Onsite
USD 160000-240000 yearly / year
Discovered 1 weeks ago
C++PythonRTOSLinuxROSDDS
Free
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Key Skills for This Role
C++PythonRTOSLinuxROSDDS
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- 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).
- 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.
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