AI软件开发工程师_PS
Bosch · Wuxi, Jiangsu, China
What the posting says
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- Employment typeStated
- Full time
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Requirements, each with its sentence from the posting
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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
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