Senior/Principal Engineer - Vehicle Dynamics Control Algorithm

In this role you will lead the design and verification of chassis control algorithms to advance vehicle dynamics. You will work within the HUAWEI Automotive R&D Competence Center in Nuremberg, collaborating with cross-functional teams to deliver model-based control solutions and HIL testing. You will develop, verify, and optimize control algorithms for automotive applications, including safety-related aspects, using MATLAB/Simulink and hardware-in-the-loop platforms. This position offers impact on real-world vehicle performance and contribution to Huawei’s automotive technology roadmap.

• healthy meals in company canteen
• training opportunities (online and in-person)
• language courses in German and Mandarin
• diverse and global team culture
• self-responsible work in a growing team

• Analyze requirements and design architecture for chassis control algorithms
• Develop and implement control algorithms for chassis systems (ESC, ABS, TCS, AES)
• Lead end-to-end work packages within projects and coordinate verification and validation
• Model with MATLAB/Simulink, simulate, road test and validate concepts
• Build and utilize HIL test platforms using dSPACE/AutoBox for rapid prototyping
• Review design, verify functions, assess performance, and rectify issues
• Support vehicle performance tests, bench tests, and vehicle evaluations
• Assist embedded software engineers with code transplantation and integration
• Debug and document control algorithm issues and field problem reports
• Support failure mode analysis and system function development
• Assist parameter calibration in vehicle environments to meet customer requirements
• Contribute to modeling specifications, processes, and technical reviews
• Mentor and participate in capacity-building activities within the team

• Master degree in vehicle engineering, automatic control or related field (Ph.D. preferred)
• Experience in algorithm and SW development for chassis controls (ESC, ABS, TCS, AES) with mass production projects
• Strong fundamentals in vehicle dynamics, physics and mathematics
• Proficiency in classical and modern control theory, MPC, supervised learning, state observers
• Proficiency with IPG Carmaker for modeling, simulation, and code generation (MBD)
• C language programming and debugging; familiarity with embedded software development and basic hardware understanding
• Experience with functional safety development is a plus
• Fluent in written and spoken English

• MATLAB/Simulink modeling
• dSPACE/AutoBox hardware-in-the-loop
• IPG Carmaker for modeling and simulation
• Model-based development (MBD)
• Control theory: classical, modern, MPC
• State observers and supervised learning