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Planning and Control Algorithm Engineer

Caterpillar

Planning and Control Algorithm Engineer

Caterpillar

3 Locations

·

On-site

·

Full-time

·

1w ago

Required Skills

C++

Python

Path planning

Control theory

MPC

LQR

PID

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.

规划控制工程师

岗位职责

负责无人驾驶车辆的路径规划与轨迹生成。 基于感知的行为规划:跟车规划,位移速度规划,基于障碍物的轨迹与速度规划,并保证系统安全以及车辆平顺运行 开发纵向、横向控制算法(PID、MPC、LQR等),实现高精度轨迹跟踪。 与感知、定位、决策模块协作,完成规划控制系统的集成与调试。 在仿真平台及实车环境中进行算法验证、性能优化及问题分析。 参与系统安全冗余设计,提升系统可靠性。

任职要求

  • 学历背景:自动化、控制工程、车辆工程、计算机、机器人等相关专业,硕士及以上学历。
  • 专业技能:熟悉常用路径规划算法(A*、Dijkstra、RRT、RRT*、Hybrid A、优化方法如梯度下降、MPC、非线性优化等)。
  • 掌握车辆动力学模型及控制理论(PID、MPC、LQR等)。
  • 精通C++与Python,具备良好的工程实现能力。
  • 熟悉机器学习、深度学习、强化学习在规划控制领域的应用。
  • 了解行业前沿的端到端(E2E)、VLA、世界模型等技术概念。
  • 经验要求:有无人驾驶或智能驾驶相关项目经验。
  • 熟悉ROS/ROS2、CyberRT等中间件,具备仿真和实车调试经验。
  • 其他要求:具备良好的问题分析能力和团队协作能力。
  • 英文文献阅读能力强。

加分项

  • 有自动驾驶开源项目经验(Apollo、Autoware)。
  • 熟悉优化求解器(OSQP、Ipopt)或深度学习在规划控制中的应用。
  • 有车辆测试场或道路测试经验。
  • 顶会(如CVPR, ICRA, RSS等)中发表过相关无人驾驶论文者优先

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

Caterpillar 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