Chassis By-Wire Control Algorithm Engineer-Graduate program

Overview

Chassis By-Wire Control Algorithm Engineer-Graduate program

Duties and responsibilities

• Responsible for the system requirement development of chassis control system;
• Responsible for the development and simulation validation of core control algorithms for chassis by wire, such as EMB, SBW, Active suspension, and chassis domain control;
• Responsible for the unit test of the developed software, as well as the preparation of related design and development documents;
• Cooperate with chassis VD tuning engineers in parameter tunning and algorithm iterations, ensuring high quality overall performance delivery.

Qualifications

• Education/Experience
• Master/PhD in Control Systems with excellency in automotive design theories and practices.
• Knowledge
• Proficiency in MBD for embedded systems and corresponding programming tools (Matlab/Simulink, C, Tasking, etc.) with a good programming style;
• Proficient application in modern and/or classical control theory, with good knowledge in MPC, LQ, ILC and other commonly used active suspension control algorithms;
• Fluent English (oral and writing) is mandatory.
• Skills and Competencies
• Excellent collaboration and problem-solving skills;
• Self-motivated, fast learning ability, proactive and creative;
• Excellent time management and the capacity to work under pressure;
• Strong self-confidence and results-oriented work philosophy.

About Li Auto

We're a leading Chinese new energy vehicle company that designs, develops, manufactures, and sells premium smart electric vehicles (EVs). Through product, technology, and business model innovations, we provide families with safer, more comfortable, and more convenient products and services.

Job details

• Seniority level: Associate
• Employment type: Full-time
• Industry: Motor Vehicle Manufacturing

About Li Auto

We’re documenting a role focused on chassis by wire control algorithm development within Li Auto’s graduate program. This description is intended for internal clarity and candidate guidance.

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