Test Principal Architect (JIH5JP00004385)
Job Description
Contract to Hire - US or GC candidates only
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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.
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Minimum Educational Qualifications
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• Bachelor’s Degree in Computer Science or Electronics Engineering
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Minimum Experience
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• 8+ years in automotive software testing both Applications and Embedded functions testing.
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- Should be able to develop test strategies and apply test tools per the requirements and not be rigid with test tools. Must be flexible and open for most appropriate test methods per the situation.
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Job-Specific Skills
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• Basic understanding of data pipelines and analytics tools used in automotive software validation.
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• Hands-on experience with industry-standard testing and measurement tools such as dSPACE, CANoe, CANape, DIVA, and Open Test.
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• Proficiency in scripting languages including JAVASCRIPT, Python, and CAPL for test automation and diagnostics.
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• ISTQB or IREB certification preferred, demonstrating formal training in software testing and requirements engineering.
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• Strong knowledge of test coverage analysis and defect tracking metrics to support continuous improvement.
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• Effective written and verbal communication skills, with the ability to convey technical concepts clearly across teams.
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• Proven ability to manage time effectively, clarify responsibilities, and coordinate across multidisciplinary teams.
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• Demonstrated innovation and problem-solving capabilities in complex technical environments.
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• Ability to build and leverage internal networks and coalitions to gain alignment, support, and drive collaborative success.
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[strong data-olk-copy-source="MessageBody"]Revised "Must Have" Profile - as of 8/28
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- 8+ years of automotive software validation experience.
- Experience developing test strategies and validation methodologies.
- Proven record of solving ambiguous technical problems.
- Experience defining test approaches for new technologies.
- Strong systems-thinking mindset.
- Ability to work independently in a research-oriented environment.
- Automotive tools such as CANoe, CANape, dSPACE, CAPL, etc.
- Python automation experience.
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Nice-to-Have
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- AI/ML testing or validation exposure.
- Data analytics and data pipeline knowledge.
- JavaScript.
- ISTQB/IREB certification.
- ADAS, autonomous systems, or advanced vehicle technology experience.
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