招聘
Required Skills
C++
Python
ROS
Dynamics Modeling
Sensor Simulation
System Simulation
Career Area:
Engineering
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.
岗位概述负责整矿无人驾驶系统的仿真架构设计与开发,涵盖后台控制系统仿真、无人驾驶车辆仿真、子系统仿真以及无人驾驶算法的仿真与测试,确保系统在虚拟环境中实现高效验证与迭代,降低现场测试风险并提升开发效率。
主要职责
- 系统级仿真架构设计
o 构建整矿无人驾驶方案的仿真平台,支持多车辆、多场景协同测试。
o 定义矿山无人驾驶系统多层次仿真需求,并交付仿真方案 - 后台控制系统仿真
o 实现调度系统、任务分配、路径规划等后台逻辑的仿真验证。 - 无人驾驶车辆与子系统仿真
o 开发车辆动力学模型、传感器模型,支持单车及多车场景测试。
o 针对关键子系统(感知、控制、通信)进行独立仿真与集成验证。 - 算法仿真与测试
o 搭建算法仿真环境,验证路径规划、调度、避障等核心算法性能与鲁棒性。 - 场景构建与测试用例开发
o 基于煤矿无人驾驶场景,设计典型工况与边界条件,生成测试场景库。 - 性能分析与优化
o 通过仿真数据分析,发现系统瓶颈并提出优化建议,支持迭代开发。 - 工具链与平台维护
o 维护仿真工具链,支持自动化测试与持续集成,提升开发效率。
任职资格
- 学历与专业:硕士及以上,车辆工程、计算机、仿真工程或相关专业。
- 经验要求:
o 6 年以上系统仿真或无人驾驶相关经验,有工业场景或矿山项目经验优先。 - 技术能力:
o 熟悉仿真平台(如 CARLA、Pre Scan、Gazebo、Unity)、动力学建模、传感器仿真。
o 掌握 C++/Python/ROS,具备算法验证与测试经验。
o 了解分布式仿真架构、实时仿真优化、数据分析工具。 - 通用能力:良好的跨团队沟通能力、问题分析与解决能力,能适应矿区现场调试。
加分项
- 有无人驾驶系统全栈仿真经验(车辆、后台、算法一体化)。
- 熟悉数字孪生技术、场景生成与自动化测试平台开发。
- 有高性能计算、GPU 加速或云端仿真部署经验。
Posting Dates:
February 24, 2026 - March 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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