Validation Test Engineer, Test Set Curation

In this role, you will:

• 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