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Field Reliability Analyst

Zoox

Field Reliability Analyst

Zoox

Foster City, CA

·

On-site

·

Full-time

·

1w ago

Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future.

Our mission is to make transportation safer, more sustainable, and accessible to everyone.

At Zoox, innovation, collaboration, and a bold vision for the future drive everything we do.

The Reliability team leverages data from our autonomous vehicle fleet and operations to understand system performance, identify failure trends, and improve vehicle availability and safety.

As a Reliability Data Analyst, you will work closely with Reliability Engineering, Mission Assurance, and Vehicle Systems teams to develop analytics, metrics, and tooling that support reliability targets and continuous improvement across our autonomous platform.

This role is ideal for someone early in their career who enjoys hands-on data work, statistical analysis, and collaborating with engineers to translate vehicle and operational data into actionable reliability insights.

You will contribute directly to production decisions such as issue prioritization, design improvements, and maintenance strategies while building depth in reliability engineering and large-scale data pipelines.

You’ll join a diverse, experienced reliability organization and gain access to one of the most unique vehicle datasets in the autonomous driving industry.

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About Zoox

Zoox

Zoox

Acquired

Provide mobility as a service.

501-1,000

Employees

Foster City

Headquarters

Reviews

3.6

4 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.5

Management

2.0

35%

Recommend to a Friend

Pros

Good project ownership opportunities

Competitive compensation compared to peers

Networking opportunities

Cons

Potential retaliation against negative reviews

Company described as 'super shady'

Lack of transparency

Salary Ranges

497 data points

Junior/L3

Mid/L4

Junior/L3 · Autonomous Vehicle Operator

66 reports

$52,999

total / year

Base

$52,999

Stock

-

Bonus

-

$37,936

$74,044

Interview Experience

6 interviews

Difficulty

3.2

/ 5

Duration

14-28 weeks

Offer Rate

50%

Experience

Positive 33%

Neutral 67%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Technical Screen/Interview

4

Manager/Final Round Interview

5

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Machine Learning/Data Science