
ADAS Motion Control Expert
5 days ago
As a seasoned ADAS motion control engineer, you will define and drive the system architecture, control strategies, and functional requirements for advanced driver assistance systems. Your expertise in coordinated longitudinal and lateral control, high precision vehicle odometry and state estimation, system diagnostics, and fallback strategies will be instrumental in ensuring seamless integration and end-to-end functional performance.
This role requires a deep understanding of vehicle motion control, including dead reckoning, sensor fusion, state estimation, graph-based optimizers, and motion control strategies such as model predictive and quadratic regulators. You will work closely with cross-functional teams to ensure coherent system behavior and interface alignment.
A successful candidate will have a strong background in mechanical, mechatronics, electrical engineering, or a related field, with 5 or more years of experience developing safety-critical real-time embedded systems in C or C++. Additionally, they will possess 10 or more years of experience in automotive systems engineering, robotics, or control systems development with a focus on vehicle motion control, autonomy, or advanced driver assistance.
The ideal candidate will be able to lead end-to-end development of ADAS motion control software components across the V cycle from system architecture and requirements to implementation, integration, and vehicle level verification. They will also conduct in-vehicle testing to develop and validate initial parameter sets.
Requirements- Bachelor's or Master's degree in Mechanical, Mechatronics, Electrical Engineering, or a related field.
- 5 or more years of experience developing safety-critical real-time embedded systems in C or C++ for production applications.
- 10 or more years of experience in automotive systems engineering, robotics, or control systems development with a focus on vehicle motion control, autonomy, or advanced driver assistance.
- Demonstrated experience defining system-level requirements and architectures for safety-critical vehicle functions.
- Deep understanding of vehicle motion control including dead reckoning, sensor fusion, state estimation, graph-based optimizers, and motion control strategies such as model predictive and quadratic regulators.
- Cross-functional experience with software, electrical engineering, validation, and calibration to ensure coherent system behavior and interface alignment.
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