招聘
必备技能
Python
Git
Tesla is at the forefront of developing humanoid robots, known as Optimus or Tesla Bot, on a large scale to revolutionize automation in manufacturing and material handling. By using advanced AI, Optimus will enable highly adaptable and autonomous operation. As part of our Robotic Hardware Validation team, we are seeking an exceptional Electrical Hardware Validation Engineer to play a critical role in testing and validating the Tesla Bot. You will design and implement comprehensive tests at system, sub-system and component levels, which will ensure the reliability, performance, and safety of our cutting-edge humanoid robot. As an entry-level engineer, you will take direction from senior engineers while assuming full responsibility for the tests you design and run, providing summaries directly to leadership.
What You'll Do
Compensation and Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
$91,600 - $195,600/annual salary + cash and stock awards + benefits
Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
, Tesla
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关于Tesla

Tesla
PublicA financial leasing taxi company that provides vehicles to customers
140,000+
员工数
Ciudad De Panamá
总部位置
$800B
企业估值
评价
3.8
10条评价
工作生活平衡
2.2
薪酬
3.8
企业文化
3.5
职业发展
4.1
管理层
2.8
65%
推荐给朋友
优点
Innovative projects and cutting-edge technology
Great team and supportive colleagues
Opportunities for growth and learning
缺点
Long hours and poor work-life balance
High pressure and tight deadlines
Management issues and high expectations
薪资范围
1,398个数据点
Junior/L3
Mid/L4
Junior/L3 · Associate Analyst
2份报告
$94,875
年薪总额
基本工资
$82,500
股票
-
奖金
-
$92,000
$97,750
面试经验
4次面试
难度
3.5
/ 5
时长
14-28周
体验
正面 0%
中性 75%
负面 25%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Take-home Assignment
5
Panel Interview
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Machine Learning Concepts
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