Design and lead testing strategies for AI-driven software systems in automotive environments.
This role is critical to ensuring the performance, reliability, and safety of intelligent vehicle technologies through rigorous validation and cross-functional collaboration.
Requirements:
Basic understanding of data pipelines and analytics tools used in automotive software validation.
Hands-on experience with industry-standard testing and measurement tools such as dSPACE, CANoe, CANape, DIVA, and Open Test.
Proficiency in scripting languages including JAVASCRIPT, Python, and CAPL for test automation and diagnostics.
ISTQB or IREB certification preferred, demonstrating formal training in software testing and requirements engineering.