Validation Test Engineer, Test Set Curation
Develops and curates large-scale test sets from driving logs to validate autonomous driving system performance. Requires Master's/PhD in data-related field, 3+ years experience, Python proficiency, and expertise in building test sets for statistical analysis.
Responsibilities
- Generate test sets of driving logs to evaluate the performance of the autonomous driving system
- Validate and optimize the test sets to ensure they meet requirements and reflect the statistical distribution of our targeted robotaxi service
- Collaborate with cross-functional stakeholders to gather requirements and integrate test sets with our testing frameworks
- Develop and maintain data pipelines and tools for efficient test set creation and management
- Define and document best practices for the design, curation, and maintenance of large-scale test sets
- Present findings and test-set characteristics to both technical and non-technical audiences to inform system development
Qualifications
- Master's Degree in Data Engineering, Data Science, Quantitative Science or a related field and at least 3 years of relevant industry experience or PhD in Data Engineering, Data Science, Quantitative Science or a related field
- Proficiency in Python for data analysis and scripting
- Experience building and curating large test sets for statistical studies or performance analysis
- Strong communication and collaboration skills for working with cross-functional teams
Bonus Qualifications
- Experience with PySpark
- Experience with big data platforms such as Databricks or AWS EMR
- Professional experience in the autonomous driving domain
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