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Engineering Manager, Autonomy Validation Platform & Pipelines

Zoox

Engineering Manager, Autonomy Validation Platform & Pipelines

Zoox

Foster City, CA

·

On-site

·

Full-time

·

1w ago

Zoox is looking for an experienced Software Engineering Manager to lead our Autonomy Validation Platform & Pipelines infrastructure team.

This team is responsible for the platform powering Zoox’s safety approach through mass-scale simulation, as well as for key safety validation pipelines running on it.

You will take on a wide breadth of end-to-end responsibilities, including the design of large-scale distributed systems & compute frameworks, the automation of complex business processes with human-in-the-loop stages, and the establishment of best-in-class operations to maintain mission-critical SLAs.

The position comes with a high degree of independence and the opportunity to help define Zoox’s autonomy validation and scaling strategy, both technically and organizationally.

You will work closely with stakeholders in Autonomy, System Design & Mission Assurance, and Software Systems teams to develop a cohesive, deeply vertically integrated solution.

You will also be responsible for hiring and maintaining the health of your team, as well as growing and coaching them to support the continued success of their careers.

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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