1 个优质control algorithm engineer职位（正在招聘！）

Other jobs to consider

Find your next job by exploring related positions.

Precision Motion Control Expert (Beijing Based, Semiconductor, Relocation Provided)
Algomarketing —北京市
Strong expertise in real-time control system architecture, motion control software development, and advanced control algorithm design.
快速申请
5 小时
Cockpit AI Multimodal Architect
Renault Group —杭州市
Be responsible for the design and development of multimodal interaction middleware, provide standardized AI interaction interfaces (e.g., voice wake-up, visual…

一旦登录您的账户，即表明您同意 SimplyHired 的服务条款和我们的Cookie 协议及隐私政策。

Job Responsibilities:

Develop, enhance and maintain existing developed ADAS algorithms such as AEB, ACC, LKA, Lane Centering and Vehicle Motion Control
Integration of third-party IP algorithms in QNX
Collaborate closely with India-based engineering teams to take end-to-end ownership of ADAS software components.
Act as a technical bridge between China-based Tier-1 supplier and TMPV engineering team in India to ensure alignment and effective communication.
Work cross-functionally with system engineering, software integration, and validation teams to ensure seamless system integration
Participate in real-world vehicle testing and validation activities in China.
Analyse vehicle data and debug system behaviour.
Support issue analysis, root cause identification, and resolution during development and validation phases.

Desired Candidate Profile:

Bachelor's or Master's degree in Electronics, Electrical, Mechatronics, Mechanical, Embedded Systems, or a related field
Minimum 10 years of experience in software development, with a strong focus on ADAS algorithm development.
Hands-on experience with high performance SoCs (NVIDIA or Qualcomm)
Strong programming skills in C++ or Model-Based Development (Matlab/Simulink).
Hands-on experience in developing ADAS components such as Vehicle Motion Control, Sensor Fusion, ADAS Applications (AEB, ACC, LKA, Lane Centring):
Good understanding of vehicle dynamics.
Good understanding of automotive control systems such as PID and MPC.
Good understanding of Kalman Filters / State Estimation techniques.
Hands-on experience in integration of ADAS software components in QNX Operating System
Good understanding of AUTOSAR (Classic and/ or Adaptive)
Experience with debugging and analysis tools such as CANoe.
Knowledge of automotive communication protocols (CAN, Ethernet, SOME/IP)
Good proficiency in both English and Chinese (spoken and written) to enable effective communication between India and China teams

Job Type:

Permanent Job

Role:

Other Roles

Function:

Others

Employment Type:

Full time