热门公司

Zoox
Zoox

Provide mobility as a service.

Senior Feature Engineer

职能工程
级别资深
地点Foster City, Canada, United States
方式现场办公
类型全职
发布2个月前
立即申请

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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关于Zoox

Zoox

Zoox

Acquired

Provide mobility as a service.

501-1,000

员工数

Foster City

总部位置

$1.3B

企业估值

评价

10条评价

3.7

10条评价

工作生活平衡

2.5

薪酬

3.8

企业文化

4.0

职业发展

3.2

管理层

2.8

65%

推荐率

优点

Innovative and cutting-edge technology projects

Supportive and collaborative team environment

Good compensation and benefits

缺点

Fast-paced work environment

Poor work-life balance and long hours

High stress levels and workload

薪资范围

139个数据点

Mid/L4

Mid/L4 · Business Intelligence Engineer

1份报告

$206,034

年薪总额

基本工资

$158,642

股票

-

奖金

-

$206,034

$206,034

面试评价

3条评价

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Hiring Manager Interview

5

Final Interview Rounds

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Machine Learning Concepts

Data Analysis