8 个优质control algorithm职位（正在招聘！）

More jobs to discover

Find similar jobs that you might be interested in.

Systems Engineer (SEM)
Texas Instruments —上海市
As a Systems Engineer (SEM), your primary role is to engage with customers and provide solutions that cut across device, board and software recommendations for…
14天
Wheel Loader Performance Engineer
Caterpillar —青岛市
Embedded Systems: Knowledge of embedded systems and their applications; ability to develop embedded systems with varying levels of complexity to control the…
22 小时

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