AI Chassis Algorithm Engineer-Graduate program

Li Auto; München; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading new energy vehicle company is seeking an AI Chassis Algorithm Engineer for its graduate program in Munich. The role involves developing cutting-edge algorithms for intelligent chassis technologies. Ideal candidates will have a Master's or PhD in related fields and proficiency in C++ and Python. This full-time position offers opportunities to innovate in the field of AI-driven automotive technology.

Qualifikationen

• Familiar with algorithms related to image processing and sensor fusion.
• Strong foundation in control theory and vehicle dynamics.
• Experienced with large models and reinforcement learning algorithms.

Aufgaben

• Develop algorithms using lidar and cameras for chassis information.
• Use deep learning frameworks for intelligent chassis control.
• Optimize chassis control algorithms with environmental feature maps.

Kenntnisse

C++

Python

Software development

Debugging skills

Image processing algorithms

Sensor fusion

Ausbildung

Master's/PhD in Computer Science

Vehicle Engineering

Mechanical Engineering

Automation

Electronics

Artificial Intelligence

Jobbeschreibung

AI Chassis Algorithm Engineer-Graduate program

The Intelligent Chassis Forward-Looking Technology Team is a technological research, development and innovation team within the Intelligent Chassis Team. The Forward-Looking Technology Team focuses on the research and development of next-generation AI chassis technologies. Through the integration and innovation of cutting-edge technologies such as multi-sensor fusion, vehicle-cloud collaboration, and large models, it brings subversive dynamic driving experiences to intelligent vehicles and continuously leads the development of global intelligent chassis technologies.

We welcome candidates who are passionate about the application research of artificial intelligence technology and embodied intelligence technology in automobile chassis and eager to contribute to the innovative work of our team. Join our team and embrace the era of AI chassis together!

Duties and responsibilities

Responsible for one or more of the following:

• Responsible for the development of preview front-end algorithms, that is, using perception devices such as lidar and cameras, combined with sensor fusion algorithms to obtain information such as road elevation and road features for the chassis;
• Responsible for using deep learning frameworks such as TensorFlow and PyTorch to build and train large models for intelligent chassis control, realize fine-tuning of VLA large models, and support adaptive decision-making and control of the chassis;
• Responsible for the development of vehicle-road-cloud integrated adaptive control algorithms, and optimize the performance of chassis control in combination with environmental feature maps.

Requirements

Education/Experience

• Master's/PhD in Computer Science, Vehicle Engineering, Mechanical Engineering, Automation, Electronics, and Artificial Intelligence.

Knowledge

• Possess a solid foundation in computer science and control theory, and be familiar with algorithms related to image processing and sensor fusion;
• Possess a solid foundation in control theory and vehicle dynamics theory;
• Familiar with the application of large models and reinforcement learning algorithms.

Skills and Competencies

• Proficient in C++ and Python, with good software development and debugging skills;
• Familiar with algorithm tools such as AI-based semantic recognition algorithms commonly used in image processing;
• Self-motivated, good at learning, proactive, and creative.

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.

Seniority level

Associate

Employment type

Full-time

Job function

Motor Vehicle Manufacturing