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Validation and Testing Engineer

🕒 8 days ago
Software TestingValidationQuality AssuranceTest Planning
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📜 Description

  • Design, develop, and execute validation and testing strategies for data products.
  • Develop and maintain testing tools and integrations across systems, APIs, and cloud services.
  • Create test plans, test cases, and automated testing scenarios.
  • Validate data integrity, accuracy, consistency, and completeness across data pipelines and platforms; analyze results and identify root causes.
  • Use AI-powered tools to improve testing processes, coverage, and quality-risk detection.
  • Collaborate with Product, Development, Data Engineering, and Operations teams to verify requirements and support multiple projects.

🛠️ Requirements

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • Experience in software testing, validation, or quality assurance, including writing test plans, cases, and documentation.
  • Knowledge of SQL, data pipelines, APIs, and cloud-based platforms.
  • Experience developing or customizing testing tools, automation frameworks, or validation utilities.
  • Experience validating complex data products and data-driven systems; familiarity with AI tools used in testing.
  • Knowledge of Python, scripting, or test automation development.
  • Strong analytical, troubleshooting, and attention-to-detail skills; able to collaborate across teams and work to tight timelines.
Full job description

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.

Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

What will your job look like:

  • Design, develop, and execute validation and testing strategies for Mobileye data products.

  • Develop and maintain testing tools and test integrations between multiple systems, APIs, and cloud-based services.

  • Write comprehensive test plans, test cases, and automated testing scenarios to ensure product quality and reliability.

  • Validate data integrity, accuracy, consistency, and completeness across complex data pipelines and platforms, analyze test results, identify root causes.

  • Leverage AI-powered tools to optimize testing processes, improve coverage, and identify quality risks.

  • Collaborate closely with Product, Development, Data Engineering and Operations teams throughout the product lifecycle.

  • Ensure products meet business, functional, and technical requirements before release.

  • Support multiple projects simultaneously under tight deadlines and changing priorities.

All you need Is:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

  • Proven experience in software testing, validation, or quality assurance roles.

  • Hands-on experience writing detailed test plans, test cases, and test documentation.

  • Familiarity with AI tools and technologies and their practical use in testing and validation activities.

  • Strong knowledge of SQL, data pipelines, APIs, and cloud-based platforms.

  • Experience developing or customizing testing tools, automation frameworks, or validation utilities.

  • Experience validating complex data products and data-driven systems.

  • Strong analytical and troubleshooting skills with attention to detail.

  • Knowledge of Python, scripting, or test automation development.

  • Ability to work effectively in a dynamic, high-pressure environment with aggressive timelines.

  • Proven ability to collaborate successfully with multiple cross-functional teams.

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