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Recognizable brand and metro location increase competition, but senior specialized QA automation skills moderate applicant density.
Strong automotive safety and ASPICE/ISO26262 requirements raise industry-specific fit sensitivity.
Requires Python, ML, CI/CD, test automation and automotive ASPICE/ISO26262 expertise, so strict technical filters.
Develop and maintain Python-based automation frameworks for integration and system testing in automotive software.
Build AI/ML solutions to enhance test automation, including defect detection, log analysis, and test result prediction.
Own build, integration, release activities and CI/CD pipeline setup while leading a small team of up to 3 engineers.
Strong programming skills in Python and experience with Python automation frameworks like PyTest, Robot Framework, or unittest.
Experience with AI/ML concepts and libraries such as Scikit-learn, TensorFlow, or PyTorch.
Experience in automotive software testing or integration testing; familiarity with Automotive SPICE and ISO 26262.
Work Experience Required: Not explicitly mentioned in the JD.
Hands-on experience integrating test automation with CI/CD tools such as Jenkins or GitLab CI and proficiency with Git version control.
Background in analyzing vehicle logs, data visualization, and report generation using tools like Pandas and NumPy.
Experience leading small teams and collaborating across software developers, test engineers, and system architects in automotive or embedded system environments.