- Passing through various stations as part of the software trainee program - Building up know-how with regard to company processes and technologies with a focus on the software development process according to AutomotiveSPICE - Building up experience in the area of requirements analysis and management - Developing source code according to the defined requirements and standards using the programming languages Python and C/C++ - Carrying out debugging and structured software tests… Show more - Passing through various stations as part of the software trainee program - Building up know-how with regard to company processes and technologies with a focus on the software development process according to AutomotiveSPICE - Building up experience in the area of requirements analysis and management - Developing source code according to the defined requirements and standards using the programming languages Python and C/C++ - Carrying out debugging and structured software tests to ensure software quality - Creating detailed technical documentation, reports and user manuals for the self-developed software - Acquiring soft skills in the areas of intercultural communication, teamwork, conflict and project management, technical documentation, reports and user manuals for the self-developed software - Acquisition of soft skills in the areas of intercultural communication, teamwork, conflict and project management Show less

"Optimization, Implementation and Verification of Thermal Deep Learning Models for Embedded Systems"- Literature research on deep learning tools and best practices for embedded systems- Comprehensive research on deep learning model reduction techniques for resource limited systems- Conversion of TensorFlow/Keras models to TensorFlow Lite- Optimization and reduction of the model sizes to run efficiently on different microcontrollers - Deployment of the models as C/C++ code on… Show more "Optimization, Implementation and Verification of Thermal Deep Learning Models for Embedded Systems"- Literature research on deep learning tools and best practices for embedded systems- Comprehensive research on deep learning model reduction techniques for resource limited systems- Conversion of TensorFlow/Keras models to TensorFlow Lite- Optimization and reduction of the model sizes to run efficiently on different microcontrollers - Deployment of the models as C/C++ code on microcontrollers- Testing, verification, and baseline performance comparison of the embedded models Show less

- Programming of microcontrollers in C and C++- Design, development and integration of software modules in the embedded area- Execution of code reviews and debugging- Analysis of technical requirements- Prototypical development, assembly and test of electronic circuits and boards- Execution of measurement series and evaluation of measurement data- Creation and maintenance of internal documentation

- Programming of microcontrollers in C and C++- Design, development and integration of software modules in the embedded area- Agile software development using Scrum- Prototypical development, assembly and testing of electronic circuits- Collaboration in the development and testing of test systems for automated driving on test sites- Evaluation of measurement data

"Implementation of a control system for a pedestrian dummy to reproduce human movement behaviour for testing active pedestrian protection systems"

Department: Automotive Microcontroller Validation- Manual measurements of microcontrollers - Programming of automated measurements (C#, Matlab)- Documentation of the results

production and logistics division

production and logistics division

Dual apprenticeship- Commissioning, operation and handover of mechatronic systems and plants- Maintenance and optimization of automation technology- HMI and PLC programming- Pneumatic, electro-pneumatic and hydraulic control technology- Installation and testing of hardware and software components- Data bus systems (Interbus, Profibus)- Measurement, digital and control engineering