8 个优质control algorithm职位（正在招聘！）

ADAS Software Engineer
Ensoft Consulting Pte Ltd —广东省
- 全职
2天
Senior Principal EE Architect (RD4.0 B3)
Mercedes-Benz Group AG —北京市
10 小时
嵌入式软件开发工程师 (AI方向)_SO
Bosch Group —苏州市
- 全职
快速申请
Embedded Advanced Algorithm Engineer/嵌入式先进算法工程师_ITK
Bosch Group —无锡市
- 全职
快速申请
17 小时
Security Software Engineer_XC
Bosch Group —上海市
快速申请
电机系统设计专家_EM
Bosch Group —长沙市
- 全职
快速申请
资深电机控制软件开发工程师_BCSC
Bosch Group —无锡市
- 全职
快速申请
Data Artist
Meshy LLC —中国
- 全职
快速申请

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Senior Principal EE Architect (RD4.0 B3)
Mercedes-Benz Group AG —北京市
Gesellschaft:Mercedes-Benz Group China Ltd. Standort:Mercedes-Benz Group China Ltd., Beijing. The position is the top technical authority responsible for the…
10 小时

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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