JOB ID 28263
Autonomous Driving Simulation Validation Engineer
- メーカー, 自動車
- その他（ローカリゼーション・QA等）,IT, 製品エンジニア（ハード・ソフトウェア）
- 東京都
- 600万円～1200万円
2024年4月に設立された日本のディープテック系スタートアップ企業。大型トラック向け自動運転システムの開発を専門とし、ドライバー不足や高齢化、物流需要の増加といった日本の物流業界が抱える課題の解決を目指している。高速道路を利用した幹線輸送に重点を置き、AIを活用した先進的な自動運転技術により、輸送の安全性と業務効率の向上、物流コストの削減を推進している。自動車メーカーや物流企業との連携を通じて、自動運転トラックの実用化と次世代の物流インフラの構築に取り組んでいる。
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.
募集要項
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- 職種要約
- ・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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- 応募資格（必須）
- ・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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- 応募資格（優遇）
- ・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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- 勤務地
- 東京都
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- 勤務スタイル
- 在宅勤務OK, フレックス勤務OK
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- 給与
- 600万円～1200万円
-
- こだわり条件
- 海外展開, 土日祝休み, 大手企業
Consultation
自動車・モビリティ業界における
転職やキャリア設計、
求人の選定の
ご相談を承ります。
