招聘
必备技能
Project Management
Tesla’s Factory Automation Robotics team builds fleet management and robot control software that operates autonomous robots and automation systems - including AMRs, ASRS, conveyance systems, and Optimus - across global manufacturing and warehouse facilities. These systems are production-critical and directly impact factory throughput, uptime, and scalability.
We are seeking a robotics software integrations engineer to lead deployments, provide production support, and drive continuous improvement of these applications across Tesla factories. The role blends a software engineering foundation with project leadership and cross-functional coordination to ensure reliable delivery, adoption, and sustained performance of robotics and automation systems.
The ideal candidate is equally comfortable debugging distributed and edge software issues, representing factory needs to engineering teams, and guiding cross-functional groups through new deployments.
This position is based in Austin, TX, with up to 15% travel to Tesla factories worldwide for onsite project launches.
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:
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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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