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
