3 software engineering jobs found in Stuttgart

GFT Technologies is a responsible, AI-centric global company in the field of digital transformation. We design advanced solutions for data and AI transformation, modernize technology infrastructures, and develop next-generation core systems for leading banks, insurance companies, industrial and robotics firms. Working closely with our clients, we push boundaries to unlock their full potential. With in-depth industry expertise, state-of-the-art technologies, and a strong partner network, GFT offers responsible, AI-centric solutions that combine technological excellence with high delivery and cost efficiency. This makes us a reliable partner for sustainable business success. With over 12,000 technology experts, we operate in more than 20 countries worldwide and offer career opportunities in the field of leading software innovations. GFT Technologies SE (GFT-XE) is listed on the SDAX of the German Stock Exchange. Let's Go Beyond! At the Center of Excellence Data, we...

Change the world. Love your job. In your first year with TI, you will participate in the Career Accelerator Program (CAP), which provides professional and technical training and resources to accelerate your ramp into TI and set you up for long-term career success. Within this program, we also offer function-specific technical training and on-the-job learning opportunities that will encourage you to solve problems through a variety of hands-on, meaningful experiences from your very first day on the job. As a Software Engineer, you will be part of a software design team specialized for industrial communication solutions, where you will learn the essentials of industrial communication protocols, embedded systems design techniques, including foundational software development processes, the software development life-cycle and software development tools. You will gain knowledge of the following: Foundational software development processes and life cycle Embedded...

Tasks This internship is the foundational first phase of an innovative project aimed at developing a machine learning-based "Load Profile Generator" for vehicle E/E powernet simulations. Your mission is to analyze our rich datasets of vehicle operational data and conduct the critical research needed to select the optimal ML architecture for this task. The results of your internship will directly inform and enable a subsequent Master's thesis project focused on model implementation and integration. During your internship you will dive deep into large time-series datasets from vehicle measurements to understand underlying patterns, distributions, and characteristics of vehicle power consumption. Furthermore you will develop as well as implement robust scripts and workflows for cleaning, transforming, and preparing the raw data into a structured format suitable for ML model training. You will identify and create meaningful features from the time-series data that...