AI Processing in Electronic Control Unit

1.      Search the possible solutions like MCU with neural processing unit(NPU) to accommodate AI processing to resolve the actual engineering problems.

2.      Implementing existing feature(s) as part of the NPU (e.g. Thermal protection of motor, or Anti-Pinch)

3.      Feature enhancement (any feature which is easy for NPU but difficult for the traditional SW, such as wear-out estimation of the motor, ...)

4.      Support AI algorithm pre-processing, post-processing, data sorting and annotation for ECU application scenarios.

5.      Conduct performance testing, latency analysis, resource occupancy (RAM/ROM/CPU) evaluation of AI models running on ECUs, and put forward optimization suggestions.

6.      Complete other technical tasks assigned by supervisors related to ECU AI processing development.

1.      Undergraduate or postgraduate student majoring in Automotive Engineering, Electronic Engineering, Automation, Computer Science, Artificial Intelligence, Embedded Development or related fields.

2.      Able to work full-time for at least 3 months; long-term interns are preferred.

3.      Quick learning ability, rigorous work attitude, good team communication and execution skills.

4.      Familiar with C/C ++ and Python; know about mainstream deep learning frameworks (PyTorch / TensorFlow / ONNX).

5.      Knowledge of model lightweight, quantization, model deployment on edge devices is a strong advantage.

6.      Basic understanding of automotive electronic control unit (ECU), automotive software or automotive bus protocol is preferred.

What can you expect from us? 

• Attractive working conditions and benefits.
• A culture focused on teamwork and solving problems together.
• An innovative atmosphere where new ideas are welcome!
• Opportunities for your personal and professional development.

Our Core Values are One Inalfa, Ownership, Ambition and Progress.