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AI软件开发工程师_PS

🇨🇳 China

TensorFlow

Python

C++

Machine Learning

Design

AI软件开发工程师_PS

from 🇨🇳 China

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

 

Job Summary

Responsible for the development and validation of AI-related functions in automotive embedded systems. This includes the design, development, and optimization of AI algorithms in in-vehicle embedded software. The role involves full-process development from concept to mass production, providing reliable technical support for various application scenarios.

 

Roles and Responsibilities

• Responsible for designing technical solutions, algorithm design, and developing core modules based on AI product requirements, such as enhancing traditional control algorithms and developing virtual sensors.

• Responsible for designing experiments for relevant data acquisition.

• Implementation neural networks into embedded platforms.

• Validation of system functions on test bench and vehicle (in vehicle proving grounds or open areas)

• Software trouble shooting and bug-fix

• Other tasks assigned by superior

Qualifications Requirement

• Master's degree in software engineering / computer science / mathematics / artificial intelligence / or related major.

• Software language skills (C language / C++ language / Python)

• Familiarity with deep learning frameworks, such as TensorFlow and PyTorch, with project development experience on at least one platform.

• Good English communication skills

• Self-driven, committed to target, able to perform good teamwork

 

Job Relevant Knowledge and Experience

• At least 5 years’ experience in software engineering (referred industry: AI)

• Strong programming skills and a solid foundation in algorithms. In-depth understanding of machine learning and deep learning principles.

• Experience in big data progress, model training and deployment.

• Embedded system knowledge

 

by @maxrusakovic