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JobsZoox

Engineering Manager, Autonomy Systems Verification and Validation

Zoox

Engineering Manager, Autonomy Systems Verification and Validation

Zoox

Foster City, CA

·

On-site

·

Full-time

·

1w ago

Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities.

We are seeking an Engineering Manager to lead a verification and validation team that’s evaluating the safety performance of our robot in a variety of driving scenarios.

In this role, you will lead a team of engineers that leverage methods including log data analysis, simulation, and closed course structured testing.

You’ll work cross functionally with driving software teams, software tool teams, test operators, systems engineers, proving ground operators, and more to develop, execute, and iterate on your validation campaigns.

These campaigns will evaluate our safety critical system, are highly visible, and are an important critical path element of launching our service.

The ideal candidate not only brings technical expertise and leadership to the role, but also provides mentorship, drives clarity from ambiguity, brings new processes into existence, scopes projects, sets priorities, and propels the company forward.

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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

Mid/L4

Mid/L4 · Business Intelligence Engineer

1 reports

$206,034

total / year

Base

$158,642

Stock

-

Bonus

-

$206,034

$206,034

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