Caterpillar

Makes heavy machinery, engines and gas turbines

Control Algorithm Engineer

Controls & Automation EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

At least 2 years of research and development experience in autonomous-driving or advanced driver-assistance motion-control algorithms.
A master's degree or above in vehicle engineering, automation, control theory, or a related major.
Knowledge of PID, LQR, and MPC control algorithms, with real-vehicle debugging experience in lateral and longitudinal control, state estimation, and fault diagnosis.
Familiarity with the dynamics of heavy vehicles such as mining trucks and articulated vehicles, and understanding of steering and braking system operating limits.
Experience developing adaptive compensation algorithms based on steering and braking characteristics; experience developing controls for slippery roads and uphill or downhill conditions is preferred.
Experience debugging and calibrating multiple vehicle models, and ability to independently analyze and solve complex control problems.
Proficiency in at least one of MATLAB/Simulink, C++, or Python, and ability to use AI tools to assist in programming and developing functional modules.
Familiarity with CAN communication protocols and chassis architecture; knowledge of functional safety and safety of the intended functionality is preferred.

Responsibilities

Design, develop, calibrate, and iteratively optimize lateral and longitudinal motion-control algorithms for autonomous vehicles to improve stability, smoothness, and response in heavy-load scenarios.
Study nonlinear dynamics across vehicle types, including unmanned mining trucks and articulated vehicles, and adapt control strategies to their characteristics.
Develop adaptive compensation algorithms based on steering and braking characteristics, addressing path tracking with high inertia, braking under full load, and vehicle-body attitude control across conditions including slippery roads and slopes.
Build vehicle-dynamics models; identify parameters; compensate for control errors and stability; and design robust safety strategies such as anti-saturation and rollover prevention for mining operations.
Engineer algorithms for vehicle implementation and conduct integrated real-vehicle testing with chassis actuators; manage parameters and diagnose faults using CAN communication; participate in establishing MIL/SIL/HIL simulation validation.
Use real-vehicle data to optimize tracking accuracy, braking response, and ride smoothness, and identify and resolve field control issues through a closed feedback loop.
Track advances in motion control, support implementation of new technologies, participate in system safety redundancy design, and improve reliability across vehicle models.
Coordinate technical interfaces with perception, planning, and chassis teams; produce algorithm proposals, calibration specifications, and simulation and real-vehicle test documents.

Desired Qualifications

Experience with unmanned mining truck projects is preferred; strong commercial-vehicle or advanced driver-assistance experience is also suitable, and OEM project experience is an advantage.
Experience delivering unmanned mining truck or commercial-vehicle autonomous-driving projects at scale.
Experience developing coordinated steering and braking control or rollover-prevention robust control.
Experience using data-driven or mechanism-and-data fusion methods to address control consistency and stability across vehicle models and operating conditions.
Holding an autonomous-driving control-related invention patent or publishing high-quality academic papers in vehicle control, such as in VSD or TVT.

Career Area:

Technology, Digital and Data

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.

运动控制算法工程师

岗位职责:

1、负责无人驾驶车辆横纵向运动控制算法设计、开发、标定与迭代优化，提升重载场景下整车控制稳定性、平顺性与响应性能。

2、研究无人矿卡、铰接车等多车型非线性动力学特性，开展控制策略适配，依据车辆转向特性、制动特性开发自适应补偿算法，攻克大惯性路径跟踪、满载制动、车身姿态控制难题，覆盖湿滑路面、上下坡等复杂工况。

3、搭建车辆动力学模型，完成参数辨识与控制误差、稳定性补偿，设计抗饱和、防侧翻等鲁棒安全控制策略，适配矿区作业场景。

4、开展算法工程化开发与实车联调，对接底盘执行机构，基于CAN通信实现参数管理与故障诊断，参与搭建MIL/SIL/HIL仿真验证体系。

5、围绕跟踪精度、制动响应、平顺性等核心指标，利用实车数据形成优化闭环，定位并闭环解决各类现场控制问题。

6、跟踪运动控制前沿技术，推进新技术工程落地，参与系统安全冗余设计，提升多车型运行可靠性。

7、协同感知、规划、底盘等团队开展技术对接；输出算法方案、标定规范、仿真及实车测试文档。

任职要求:

1、2年以上自动驾驶/辅助驾驶运动控制算法研发经验，车辆工程、自动化、控制理论等相关专业硕士及以上；无人矿卡背景优先，优秀商用车、辅助驾驶背景亦可，主机厂项目经历加分。

2、掌握PID、LQR、MPC等控制算法，具备横纵向控制、状态估计、故障诊断等实车调试经验。

3、熟悉矿卡、铰接车等重载车辆动力学特性，理解转向、制动系统工作边界；具备基于转向、制动特性开发自适应补偿算法经验，拥有湿滑路面、上下坡工况控制开发经验优先。

4、具备多车型实车调试、参数标定经验，可独立分析并解决复杂控制难题。

5、熟练使用Matlab/Simulink、C++、Python中至少一项；能够借助AI工具辅助编程开发功能模块。

6、熟悉CAN通信协议，了解底盘架构；掌握功能安全、预期功能安全知识优先。

加分项（非强要求）：

1、具备无人矿卡、商用车主机厂自动驾驶项目规模化落地经验；

2、具备转向制动协同控制、防侧翻鲁棒控制等开发经历；

3、具备基于数据驱动、机理-数据融合等方法解决多车型、多工况控制一致性与稳定性问题经验；

4、持有自动驾驶控制相关发明专利，或发表VSD、TVT等车辆控制领域高水平学术论文。

Posting Dates:

October 19, 2026 - November 5, 2026

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

Not ready to apply? Join our Talent Community.

About the Company

Caterpillar

Makes heavy machinery, engines and gas turbines

Caterpillar makes construction and mining machines, diesel and natural gas engines, industrial gas turbines and locomotives for contractors, mines, energy companies and data center builders. It is the world's largest maker of construction and mining equipment, and its yellow Cat bulldozers and excavators work in nearly every country. Customers buy or rent machines through independent Cat dealers, while its engines and turbines generate electricity and push natural gas through pipelines. Caterpillar earns money from equipment sales and from the parts and repairs that dealers supply over a machine's working life. It was formed in 1925 when California's Holt and Best tractor companies merged, and it is based in Irving, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Irving, TX
Founded: 1925

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