採用
Required Skills
Python
Excel
Career Area:
Students and Graduates:
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
岗位职责:
1.协助设备维修工程师对 CNC、机器人、清洗机、测漏机、压装机等生产设备进行基础点检、维护、保养工作
2.协助处理设备简单故障,包括机械、电气、传感器等基础问题
3.协助设备工程师进行备件管理工作
4.参与自动化相关任务,如:
- 工业机器人(Fanuc/ABB/KUKA 等)示教与基础维护
- 自动化设备的调试记录、运行监控、参数记录等
- 参与数字化项目,包括:
- 设备数据采集(通过扫码器、传感器、PLC I/O 等);
- 协助运行 Power BI/Power Automate/Power Apps 等基础数字化工具
- 协助整理、分析设备运行数据与维修数据
6.协助维护设备台账、保养计划、故障记录等文档
7.根据维修工程师安排参与设备改善或小型项目,实现降本增效
8.严格遵守工厂安全规范,确保维修作业安全合规
任职要求:
1. 学历/专业
- 大专/本科在读学生(大三/大四/大专二年级),专业为:机电一体化、自动化、电气、机械工程、数控技术或相关方向。
2. 技能要求
- 会使用万用表、卡尺等基本工具。
- 能看懂简单机械图或电气图者优先。
- 对 CNC、机器人 或 工业自动化有兴趣并有基础知识。
- 对常用设备备件(如轴承、传感器、电磁阀、气缸、继电器、伺服电机等)有基础了解或愿意快速学习
- 具备基本数据录入和整理能力
- 对数字化工具(如 Excel、Power BI、Power Apps)有基础了解或愿意学习。
- 会基础编程更佳(不限语言:Python、C#、PLC Ladder 等均可)。
3. 能力素质
- 学习能力强,愿意接触不同类型的设备。
- 对新技术(自动化、数字化、智能制造)保持好奇心。
- 动手能力强,有责任心,能够按要求完成点检和记录工作。
- 良好的沟通能力和团队协作精神。
加分项
- 有电工证或正在准备电工证
- 会基础机器人编程或示教(KUKA、Fanuc等均可)
- 在校学习过 PLC(西门子、三菱、欧姆龙等)
- 会用 Python / Power BI / C# 处理数据或做小工具
- 做过智能制造、自动化或数字化方向的课程项目
Posting Dates:
三月 9, 2026 - 三月 30, 2026
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply? Join our Talent Community.
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About Caterpillar

Caterpillar
PublicCaterpillar Inc. is an American construction, mining, and other engineering equipment manufacturer. The company is the world's largest manufacturer of construction equipment. In 2018, Caterpillar was ranked number 73 on the Fortune 500 list and number 265 on the Global Fortune 500 list.
10,001+
Employees
Peoria
Headquarters
Reviews
3.5
3 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
2.0
Career
2.0
Management
2.5
25%
Recommend to a Friend
Pros
Strong company brand and reputation
Supportive management willing to fund training
Trusted team member with recognized expertise
Cons
Limited internal advancement opportunities
Company loyalty not rewarded with career growth
Heavy extroverted culture difficult for introverts
Salary Ranges
3 data points
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Mid/L4 · Data Scientist Grade 21
0 reports
$117,078
total / year
Base
-
Stock
-
Bonus
-
$99,517
$134,639
Interview Experience
7 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
43%
Experience
Positive 43%
Neutral 43%
Negative 14%
Interview Process
1
Application Review
2
Online Assessment
3
Technical Interview
4
Final Round Interview
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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