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Reliability is at the foundation of our autonomous vehicle platform. As a Reliability Data Intern you will play a key role in building the data collection and analysis architecture from the ground up to support the continued improvement of fleet reliability here at Zoox. Working with Zoox reliability engineers, hardware design engineers, service operations and our data teams you will be helping Zoox bring an innovative dense urban mobility service into reality. 

In this Role, You Will...

• Collaborate with Data, Service, IT, and other data stakeholders to create streamlined data pipelines & interfaces that ensure the capture of data necessary for reliability analytics
• Understand and incorporate field reliability concepts such as parametric and non-parametric lifetime data analysis, fleet/vehicle/system availability/unavailability estimation and forecasting, repairable/non-repairable system analysis, etc
• Integrate data analysis pipelines for reliability engineering, including consolidation of existing scripts and automation of failure time analyses in a version-controlled environment
• Characterize and track usage of vehicle components or subsystems to draw conclusions about each unit’s failure rate, remaining useful life, and identify gaps in testing
• Quantify safety or hardware availability risks and make actionable recommendations based on company milestones

Qualifications

• Pursuing a Bachelor of Science in Engineering/Statistics/Applied Mathematics
• Experience in data analysis and data visualization techniques
• Skilled in Python and applicable packages such as Pandas, Numpy and Scipy
• Hands-on experience with distributed version-control systems (Git)
• Experience handling and interpreting large datasets
• Ability to develop and apply statistical models
• Excellent communication and collaboration skills