AI软件开发工程师_PS
Bosch Group • Wuxi, Jiangsu, China
30 天前
职位描述
- Company Description* 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 Description* *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* *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