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- Autonomous Driving Simulation Validation Engineer
JOB ID 28263
Autonomous Driving Simulation Validation Engineer
- Manufacturer, Manufacturer-Automotive
- IT, Other (Localization, QA), Product Engineer (Hard/soft)
- Tokyo
- ¥6,000,000～¥12,000,000
A Japanese deep tech startup founded in April 2024. Specializing in the development of autonomous driving systems for large trucks, it aims to solve challenges faced by Japan's logistics industry, such as driver shortages, aging populations, and increasing logistics demand. Focusing on trunk line transportation using expressways, it promotes improved transport safety, operational efficiency, and reduced logistics costs through advanced AI-powered autonomous driving technologies. Through collaboration with automakers and logistics companies, it is working on the practical use of autonomous trucks and the construction of next-generation logistics infrastructure.
A Japanese deep-tech startup established in April 2024, specializing in the development of autonomous driving systems for heavy-duty trucks. The company aims to transform Japan’s logistics industry by addressing challenges such as driver shortages, an aging workforce, and increasing freight transportation demand. Focusing on autonomous highway transportation, it develops advanced AI-powered technologies designed to improve transportation safety, operational efficiency, and logistics sustainability. Through collaboration with automotive manufacturers and logistics companies, the company is working toward the commercialization of autonomous trucking solutions and the development of next-generation automated freight transportation infrastructure in Japan.
Validate autonomous driving software releases by translating product requirements into simulation scenarios, implementing evaluation metrics, and producing validation reports. The role uses an existing simulation platform and reviews product-defined expected behaviors and acceptance thresholds for technical soundness and testability.
Job Description
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- Responsibilities
- ・Develop simulation validation plans based on product requirements and the operational design domain (ODD). Maintain traceability between requirements, test scenarios, evaluation metrics, and validation results.
・Build and maintain test scenarios using graphical scenario editing tools, covering nominal driving conditions, safety-relevant situations, and functional boundaries. Use APIs and Python scripts to parameterize scenarios and expand test coverage.
・Review expected behaviors and acceptance thresholds provided by Product, identifying criteria that are unreasonable, inconsistent, or not testable. Provide timely, evidence-based feedback, resolve ambiguities with relevant stakeholders, and translate agreed criteria into executable evaluation metrics.
・Run regression tests and targeted validation for software releases. Manage test baselines and configurations to ensure reproducible results and meaningful comparisons across versions.
・Analyze test failures and behavioral regressions, distinguishing system defects from scenario issues and simulation artifacts. Track fixes through revalidation and convert findings from real-world testing into regression scenarios.
・Produce version validation reports covering requirements coverage, scenario-level results, blocking issues, validation limitations, and residual risks. Provide recommendations on release readiness within the validated scope.
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- Requirements
- ・Experience in autonomous driving, ADAS, or robotics system validation, with the ability to independently analyze requirements, design scenarios, implement metrics, and interpret test results.
・Practical experience with closed-loop simulation and regression testing. Understanding of perception, prediction, planning, and control, and how to evaluate driving behavior.
・Proficiency in Python scripting and data analysis, including API integration, scenario parameter handling, metric calculation, and log analysis. Familiarity with ・Linux and Git.
・Sound engineering judgment to assess the reasonableness and applicability of expected behaviors and acceptance thresholds, supported by scenario analysis and test evidence.
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- Preferred
- ・xperience in autonomous driving, ADAS, or robotics system validation, with the ability to independently analyze requirements, design scenarios, implement metrics, and interpret test results.
・Practical experience with closed-loop simulation and regression testing. Understanding of perception, prediction, planning, and control, and how to evaluate driving behavior.
・Proficiency in Python scripting and data analysis, including API integration, scenario parameter handling, metric calculation, and log analysis. Familiarity with Linux and Git.
・Sound engineering judgment to assess the reasonableness and applicability of expected behaviors and acceptance thresholds, supported by scenario analysis and test evidence.
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- Location
- Tokyo
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- Work Style
- Remote working possible, Flex working possible
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- Salary
- ¥6,000,000～¥12,000,000
-
- Attractive
Points - Japanese company with global opportunities, Weekends and holidays off, Major corporation
- Attractive
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