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Senior Controls Engineer

Beijing - China

Jun 03, 2026

Full time

R2026-2178


General Description

This position will be responsible for the simulation, design and calibration of control algorithm for various AWD product, including Transfer Case, Coupling, LSD, etc.

Key Accountabilities

  • Designing and developing new control algorithms for leading edge all-wheel-drive system products using model-based development method
  • Modeling of the control object and algorithm and perform system simulation
  • Creating control documentation, software requirements & implement them into the controllers/vehicles
  • Evaluating customer specific control logic change request and implement according to customer requirements
  • Conducting vehicle dynamics simulation for all-wheel-drive systems to assess control algorithm or product changes
  • Testing and calibrating control algorithm in the vehicle to make sure the system provides customer desired balance among multiple targets
  • Innovating new algorithm for all-wheel-drive systems control and apply for patent accordingly

Qualifications & Requirements

  • Master’s degree in Electrical/Electronics Engineering, Mechatronics Engineering, or related field required
  • At least 5 years working experience in AWD system development, familiar with AWD products and AWD vehicle architectures
  • Strong control knowledge of control theory and PID implementation
  • Strong experience with model-based development tools, such as Matlab/Simulink, HiL, Rapid control prototype.
  • Experience in measurement and calibration tools, such as CANape, INCA, CANSAS etc.
  • Skilled in use of vehicle network measurement tools
  • Very good driving skills, especially in low mu surface
  • Rich experience working with local OEM customers
  • Good communication skills both internally and externally
  • Able to work under pressure
  • Fluent English

Key Competencies

  • Drive for Results
  • Customer Focus
  • Functional/Technical Skills
  • Interpersonal Savvy
  • Problem Solving
  • Process Management
  • Decision Quality

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