RESPONSIBILITIES
- Evaluators: Create and maintain the code used for measuring the vehicle in relation to the world.
- Dataset Creation: Curate driving data and apply the appropriate evaluators to provide testing datasets.
- Support Data-Driven Analysis: Work to provide the right data to multiple customers for identifying critical issues and ensuring optimal driving performance. Strong ability to understand the customer's unique use case and support analysis when needed.
- Collaboration: Work closely with teammates to design upcoming features, data requirements, and performance measurement approach, and estimate their impact on driving performance.
- Performance Monitoring and Quality Assurance: Regularly check the data provided is reflective of the vehicle behavior and the goal of the Testing Criteria as the datasets evolve over time. Quickly triage bugs and develop testing strategies to maintain high-quality data as the system scales.
- Documentation: Maintain comprehensive documentation of workflows, technical design implementations, and testing plans.
MINIMUM QUALIFICATIONS
- 1+ years of experience working with simulation systems
- 3+ years of software QA in Python, C++, and SQL in professional environment or equivalent degree
- Understanding of large-scale data generation and data analysis.
- Foundational understanding of common software development practices
- Track record of delivering tested solutions to internal and external customers.
NICE TO HAVES
- Experience with requirements testing and/or software QA/QC
- Strong understanding of self-driving automotive technology
- Experience with release management using GitHub Enterprise or similar tools.
- Proficiency in data science, statistics, root cause analysis, and failure analysis.
- Strong grasp of automated driving technologies spanning planning, control, perception, and localization.
- Experience with Jira, Confluence, Github Actions, Reviewable, and test management tools
- Japanese language proficiency
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