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Senior/Staff Software Systems Architect

Zoox

Senior/Staff Software Systems Architect

Zoox

Foster City, CA

·

On-site

·

Full-time

·

1w ago

We are seeking a Senior/Staff Software Systems Architect with strong analytical and technical skills to gather, interpret, and present data that supports architecture decisions for our autonomous driving platform.

This role sits at the intersection of software, hardware, and systems design, with a focus on collecting and analyzing real-world performance, telemetry, and service data to provide the evidence base for robust, scalable, and efficient solutions.

You will analyze power and performance measurements, assess service and operational efficiency, and identify solutions to potential integration bottlenecks or failure risks, ensuring that vehicle platform architectural evolution is grounded in clear, data-backed insights.

You will play a key role in profiling system performance, assessing operational efficiency, and identifying bottlenecks or failure risks across compute and service layers.

Your insights will directly influence vehicle platform architecture, compute module design, and fail-operational strategies.

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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