GNC System Development Engineer, Prime Air

Amazon Prime Air is seeking a Systems Development Engineer II to join the Drone Guidance, Navigation & Controls (GNC) team as a DO-178C Requirements and Verification Engineer. In this role, you will be a key individual contributor responsible for developing the software requirements, architecture documentation, interface control documents, and verification evidence that form the backbone of Prime Air's DO-178C-compliant software lifecycle. The ideal candidate brings software development experience background and applies that knowledge to the requirements and verification artifacts that govern how that code is built and tested. You will also develop software tools to support simulation, test automation, and analysis, bridging the gap between requirements engineering and the software development team. You operate with moderate autonomy, own your assigned work products end-to-end, and collaborate closely with the tech lead and senior engineers to ensure your artifacts meet DO-178C objectives and certification standards.

Key job responsibilities
- Work on guidance and navigation and control algorithm software.
- Develop High and Low level software requirements, capturing functional, performance, and safety requirements for GNC software components in compliance with DO-178C planning and development objectives
- Author software architecture documents describing the structure, components, interfaces, and data flows of GNC software modules, ensuring architectural decisions are traceable to requirements
- Develop Interface Control Documents (ICDs) defining software-to-software and software-to-hardware interfaces for GNC components, coordinating with hardware and systems engineering teams to ensure consistency
- Develop verification evidence including test cases and test procedures for requirements-based testing ensuring coverage of all DO-178C DAL C verification objectives
- Develop software tools in Python, MATLAB, or C/C++ to support simulation, test automation, data analysis, and verification reporting — accelerating the team's ability to demonstrate DO-178C compliance

BASIC QUALIFICATIONS

- Experience with CI/CD pipelines build processes
- Bachelor's degree or above in Electrical Engineering, Computer Engineering, Systems Engineering, or related fields
- Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality
- Experience troubleshooting and debugging technical systems, or experience in software development and experience with automation and any version control tools
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
- •5+ years of engineering experience, with at least 3 years of hands-on software development experience in C, C++, or Python in embedded or real-time systems
- • 2+ years of direct experience developing software requirements (HLRs and/or LLRs) or software architecture documentation in a structured, safety-critical, or regulated engineering environment
- • Experience developing software tools or scripts (Python, MATLAB, C/C++) to support simulation, test automation, or data analysis
- • Familiarity with DO-178C (or DO-178B), IEC 61508, ISO 26262, or equivalent safety-critical software standards, including at least 1 year of direct exposure to structured lifecycle processes

PREFERRED QUALIFICATIONS

- Experience with distributed systems at scale
- Master's degree or above in engineering or equivalent
- Experience with hardware/software integration and real-time systems
- Direct experience developing DO-178C lifecycle artifacts (HLRs, LLRs, test cases, test procedures, ICDs) at DAL C or higher
- Experience developing Interface Control Documents (ICDs) for software-to-hardware or software-to-software interfaces in an aerospace or autonomous systems context
- Experience with model-based design tools (Simulink/Stateflow) for requirements capture or simulation
- Experience with autonomous systems, robotics, GNC algorithms, or unmanned aerial vehicles (UAVs)

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