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Tier-1 brand, mid-level QA title, metro location, and common skill demand increase candidate competition.
Aerospace regulatory standards and instrumentation-specific skills limit cross-industry transferability and increase sensitivity.
Explicit 4-year requirement plus DO-178C, hardware-software V&V and automation skills create strict filters.
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Develop and execute automated validation plans and acceptance test procedures for aerospace instrumentation and data systems, ensuring traceability to requirements.
Perform unit, integration, regression, HIL/SIL, and communication protocol testing (WIFI6, Cellular, ARINC, Discretes, Ethernet) with automation and CI/CD pipeline integration.
Analyze sensor data validations and test artifacts, diagnose failures using lab tools, and produce verification reports with corrective actions.
Bachelor's degree in Engineering, Engineering Technology, Computer Science, Mechanical, Civil, Aerospace Aeronautical, Material Sciences or equivalent.
Typically 4 years related work experience or equivalent combination of education and experience.
Proficient in Python test automation frameworks (pytest, unittest) and CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
Experience with system testing and measurement for ratiometric sensors, IEPE/LVDT/current sensors, ADC/DAQ behavior, and artifact management (Git/Git LFS, Artifactory/S3).
Experienced in hands-on system validation testing in aerospace or complex instrumentation environments with automation focus and established CI/CD practices.
Strong analytical skills with detailed understanding of sensor calibration, communication protocols, and embedded system testing.
Capable of managing versioned test artifacts and collaborating cross-functionally to translate system requirements into automated test cases.