Mobileye's Development Infrastructure group builds the cloud platforms, data services, and AI-powered tooling that Mobileye & OEM customers depend on to develop autonomous-driving systems.
We are seeking a highly skilled and detail-oriented Validation and Testing Engineer to ensure the quality, reliability, and accuracy of our Data Products. The ideal candidate will have proven experience in test planning, validation methodologies, and test automation, with the ability to work effectively across multiple teams in a fast-paced environment.
The position requires working form Mobileye Jerusalem Campus atlist 3 days a week.
What will your job look like:
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Design, develop, and execute validation and testing strategies for Mobileye data products.
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Develop and maintain testing tools and test integrations between multiple systems, APIs, and cloud-based services.
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Write comprehensive test plans, test cases, and automated testing scenarios to ensure product quality and reliability.
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Validate data integrity, accuracy, consistency, and completeness across complex data pipelines and platforms, analyze test results, identify root causes.
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Leverage AI-powered tools to optimize testing processes, improve coverage, and identify quality risks.
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Collaborate closely with Product, Development, Data Engineering and Operations teams throughout the product lifecycle.
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Ensure products meet business, functional, and technical requirements before release.
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Support multiple projects simultaneously under tight deadlines and changing priorities.
All you need Is:
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Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
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2-3 Years of Proven experience in software testing, validation, or quality assurance roles.
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2-3 Years of Hands-on experience writing detailed test plans, test cases, and test documentation.
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Familiarity with AI tools and technologies and their practical use in testing and validation activities.
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Strong knowledge of SQL, data pipelines, APIs, and cloud-based platforms.
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Experience developing or customizing testing tools, automation frameworks, or validation utilities.
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Experience validating complex data products and data-driven systems.
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Strong analytical and troubleshooting skills with attention to detail.
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Knowledge of Python, scripting, or test automation development.
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Ability to work effectively in a dynamic, high-pressure environment with aggressive timelines.
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Proven ability to collaborate successfully with multiple cross-functional teams.