Amazon Senior Systems Engineer GNC Prime Air 

United States, Washington, Seattle 

492294250

Key job responsibilities
As a senior Interdisciplinary System Engineer, you will define, develop, test, and deliver solutions for Prime Air's Guidance, Navigation, and Controls (GNC) subsystems.
• Break down and frame problems using CONOPs, use cases, structural/functional decomposition, and other system representations to clarify needs and align technical teams
• Drive and prioritize execution of system test campaigns that span lab and field-testing environments in collaboration with subsystem development and test teams
• Develop and communicate system integration and evaluation strategies and plans in support of program learning, technical risk reduction, verification, and validation
• Perform technical risk assessments, devise mitigation plans, and create system test strategies
• Propose changes to the system architecture and allocations across multiple sub-systems and components that improve system performance and robustness
• Build quantitative models and analyses (Excel, MATLAB, Python) to conduct trade studies, refine requirements, and understand key system drivers across the integrated systems of systems

- B.S degree or equivalent in Aerospace, Mechanical Engineering, Systems Engineering, or related field
- 4+ years of experience in systems engineering
- 2+ years of experience in the design, integration, and testing of GNC systems
- Knowledge of software engineering practices and patterns for the full software/hardware development life cycle
- Experience communicating with management, as well as technical and business teams to collect requirements, describe, product features, and technical designs

- Advanced degree in Aerospace, Mechanical Engineering, Systems Engineering, or related field
- 6+ years of experience in systems engineering
- 4+ years of experience in the design, integration, and testing of GNC systems
- Familiarity with RTCA-DO178 standards
- Knowledge of fundamental aerodynamics theory
- Ability to model and understand signal processing and/or physics-based dynamics
- Experience with simulation (software/hardware in-the-loop)
- Strong mathematical/statistical fundamentals
- Proficiency in at least one modern programming language