Shield AI · San Mateo, CA, United States
Join our team as a Senior Software Engineer specializing in Autonomous Pilot Integration. In this role, you will be responsible for integrating autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces. You will also own the build, configuration, and validation process for flight-ready systems, support live flight operations, diagnose and resolve integration issues, manage data collection during missions, and collaborate with various teams to ensure mission-critical functionality is delivered on time. Additionally, you will assist with documentation and system-level validation required for certification and compliance in defense-relevant environments. This position requires travel around 30-40% of the year.
- 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
- Hands-on experience supporting flight demos or live exercises
- Ability to obtain a SECRET clearance
- Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
- 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)
- Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation
- Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
- BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
- Typically requires a minimum of 2 years of related experience with a Bachelor’s degree; or completion of a Master’s or PhD program with internship or equivalent practical experience preferred; or equivalent professional experience
- Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)
- Familiarity with autonomy stacks, flight control systems, or GNC pipelines
- Direct experience supporting unmanned aerial systems or similar flight test campaigns
- 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
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