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Niche automotive camera and embedded expertise significantly reduces qualified applicant pool despite metro location.
Highly specialized automotive camera, embedded platform, and QNX/Linux skills limit cross-industry transferability.
Explicit 6-8 years plus mandatory automotive camera, embedded platform and scripting requirements impose strict filters.
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Design, develop, and execute functional and regression test cases for automotive camera systems including Surround View Camera (SVM) and Bird Eye View (BEV).
Create and maintain automation test scripts and manage test traceability with respect to requirements and test cases.
Collaborate with cross-location teams on test strategy, release sign-offs, and test metrics analysis including reporting and root cause analysis.
6 to 8 years of experience in automation testing within the automotive domain, specifically with vision systems like Surround View Cameras, e-Mirrors, and ADAS Smart Cameras.
Hands-on experience in manual and automation testing, test scenario and case creation, execution, defect logging (JIRA), and regression testing.
Proficient in Python scripting; C++ is optional; experience with Linux and QNX environments.
Experience with TI, Qualcomm, Renesas platforms, CI/CD pipelines, and Agile methodologies (SCRUM/KANBAN).
Experienced in automotive camera function testing with comprehensive knowledge of Surround View and Bird Eye View camera systems.
Strong testing ownership demonstrated by managing test execution, defect tracking, and delivering test metrics reporting.
Capable of proposing test strategies, reviewing requirements, estimating test efforts, and working effectively in global and agile teams.