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Our Calibration, Localization, and Mapping (CLAMS) team is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. Without precise calibration, localization, and mapping, our vehicles would be at a disadvantage when it comes to perceiving and reasoning about the surrounding world, and this is therefore foundational in enabling results from many other teams across Zoox.
This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for engineers who are ambitious and excited about helping Zoox deliver on its goals to deliver autonomous mobility.
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Zooxについて

Zoox
AcquiredProvide mobility as a service.
501-1,000
従業員数
Foster City
本社所在地
$1.3B
企業価値
レビュー
3.7
10件のレビュー
ワークライフバランス
2.5
報酬
3.8
企業文化
4.0
キャリア
3.2
経営陣
2.8
65%
友人に勧める
良い点
Innovative and cutting-edge technology projects
Supportive and collaborative team environment
Good compensation and benefits
改善点
Fast-paced work environment
Poor work-life balance and long hours
High stress levels and workload
給与レンジ
139件のデータ
Mid/L4
Mid/L4 · Business Intelligence Engineer
1件のレポート
$206,034
年収総額
基本給
$158,642
ストック
-
ボーナス
-
$206,034
$206,034
面接体験
3件の面接
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Final Interview Rounds
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Machine Learning Concepts
Data Analysis
ニュース&話題
Amazon’s Autonomous Car Has Arrived. Why Zoox Could Have a Rough Road Ahead. - MSN
MSN
News
·
1d ago
Texas continues to be a testing ground for self-driving car companies - Spectrum News
Spectrum News
News
·
1w ago
Amazon: Zoox Enters The Robo Taxi Race, Jassy On Growth And Anthropic Mythos - Seeking Alpha
Seeking Alpha
News
·
1w ago
Comments of the R Street Institute in RFC on Zoox Petition - R Street Institute
R Street Institute
News
·
2w ago