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Senior Feature Engineer

Zoox

Senior Feature Engineer

Zoox

Foster City, CA

·

On-site

·

Full-time

·

1w ago

The End-to-End (E2E) Feature and Homologation team brings systems engineering focus and discipline to Zoox mobility-as-a-service deployment and operations.

We are systems engineers working with key business stakeholders to define and deliver remarkable product capabilities that span across Vehicle, Autonomy, and Operations segments.

We partner with the systems teams from each domain by leveraging their deep technical knowledge, implementation expertise, and validation techniques to deliver a fully verified product capability.

The result is E2E ownership of a world-class mobility service.

E2E Feature Engineers are the champions of their feature domains, which cut across Vehicle, Autonomy, and Operations segments of the Zoox mobility service.

You will be responsible for the entire product lifecycle for these feature domains and will forge strong relationships with internal stakeholders (Product, Safety, Operations, Legal, etc.) and segment-specific systems engineering departments to deliver: design solutions, systems engineering documentation, multi-quarter capability plans, verification plans, and debug support.

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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