Promotion - Property Prediction for Embedded (AI) Systems

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. The Robert Bosch GmbH is looking forward to your application!

Employment type: Limited Working hours: Full-Time Joblocation: Renningen In the field of deep learning, a variety of different tasks are addressed, with the aim of as high accuracy as possible. This ranges from smaller TinyML applications on embedded systems to large voice/foundation models in cloud-based systems. A core discipline of the development process is modelling and perfomance estimation of the target system. With this work, we want to expand the boundaries of the current state of the art in order to adapt ourselves with new approaches to the increasingly rapid development cycles in order to be able to predict and evaluate the performance of future systems more quickly. In this promotional project, you will examine how different hardware properties can be extracted and what possibilities there are to model them at different abstraction, efficiency and accuracy levels. They investigate how these features can be used to predict behavior for different target hardware platforms. In addition, you will explore various novel methods of machine learning, including their applicability and efficiency compared to conventional modeling methods. Last but not least, you will see different machine learning compilers and their use as part of the modeling workflow and the related optimizations for the prediction to use more precisely.

Education: excellent degree (master or diploma) in electrical engineering, information technology, microelectronics or computer science Experiences and know-how: proven programming knowledge (C/C++, Python, Matlab), good know-how in modern mathematics, e.g. machine learning (TensorFlow, PyTorch, etc.), solver, neural networks, knowledge of AI algorithms, experience in digital hardware, embedded systems and in SoC architectures Personality and working methods: you like to get creatively on and through certain topics; They like to work in the team and understand it structured, abstract and strategic to think to deliver the best possible performance Language: very good English, German skills are advantageous

Work-life balance: Flexible working in terms of time, place and working model. Health & Sports: Wide range of health and sports activities. Childcare: Intermediary service for childcare services. Employee discounts: Discounts for employees. Room for creativity: Space for creative work. In-house social counseling and care services: Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan. JOBV1_EN