Reliability Data Intern

Zoox

2600

Foster City, CA, United States

Posted on: 2025-02-11

Category: emobility

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Expired

Employment type:

Internship

Experience required:

Intern

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.

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.

Compensation

The monthly salary range for this position is $6,500 to $9,500. Compensation will vary based on role, degree level and type, and benefits will be offered based on eligibility. Additional benefits may include medical insurance, 401k, and a housing stipend.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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

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