9 jobs found in Stuttgart

As worldwide experts in filtration, MANN+HUMMEL develop solutions for vehicles, industrial applications, clean air inside vehicles and the sustainable use of water. With team spirit and an open culture of communication, we are continuously working towards achieving our vision of 'leadership in filtration'. Become part of our team. Compensation data The classification shall be in pay group EG12 (Baden-Württemberg) 01.04.03.08 with a weekly working time of 35 hours, provided all tasks and requirements are fulfilled. Role Summary Join our European IAM Pricing team and help strengthen our analytics, reporting, and pricing capabilities across the Independent Automotive Aftermarket. In this role, you will work with large and complex datasets, build advanced Power BI dashboards, support pricing strategy execution, and collaborate closely with Sales, Finance, Product Management, and IT. You will play an important role in increasing transparency,...

Tasks During your thesis you will comprehensively design and analyze the automated extraction and processing of knowledge from JSM tickets. Furthermore you will develop a redesigned, dynamic knowledge template for the BODAS community, suitable for both text and video content. In addition you will create a functional prototype (bot or script) demonstrating the process from data extraction to populating the knowledge template. You will investigate the feasibility of connecting to platforms like Synthesia for the automated creation of video tutorials and, if applicable, implement this as a prototype. Lastly you will write your bachelor's thesis, in which you will describe the methodology, results, and the developed concept in detail. profile Education:   Bachelor studies in the field of Computer science, Business Informatics, Software Engineering, Data Science, or comparable Experience and Knowledge:   first practical experience in a...

Overview: Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Role Overview Join a high-performance team driving cutting-edge measurement devices in the domain of high-speed digital and optical from prototypes to mature production. Take ownership of our internal test platform for these instruments. This role is critical in ensuring high...

Tasks Modern power electronic systems, especially AC/DC and DC/DC converters, form the indispensable backbone of tomorrow's technology landscape: In e-mobility, they enable ultra-fast, highly efficient onboard charging systems and robust power delivery. In robotics, they drive highly dynamic, precise actuators and electric drives required for collaborative and autonomous systems. In data centers, they ensure maximum energy efficiency, high power density, and uninterrupted operation. To meet the stringent efficiency and space requirements of these applications, modern power electronics increasingly relies on advanced soft-switching topologies. While these topologies significantly reduce switching losses and maximize power density, they exhibit highly nonlinear dynamics. At the same time, cost and space optimization necessitate smaller energy storage components (capacitors and inductors), which further exacerbates system instability and complex dynamic behavior....

Tasks As part of your Master thesis, you will build an Agentic AI system within the Robert Bosch IT infrastructure. You will connect this system to the Semiconductor Database (DB) and its DB description, as well as train the agent using it. In addition, you will research how effectively the agent can translate natural language intent into deterministic database operations. Furthermore, you will investigate the efficiency and accuracy of Agentic's autonomous reasoning loops compared to traditional human-in-the-loop data science workflows. Last but not least, you will learn how the agent tests hypotheses against historical data by simulating interventions (eg in manufacturing processes), in order to make robust, data-driven decisions. profile Education:   Master studies in the field of Computer Science, Mathematics, Physics or comparable Experience and Knowledge:   of Python, Machine Learning, Agentic AI, SQL, Git and MCP;...

Tasks As part of your master's thesis, you will build an agentic AI system within the Robert Bosch IT infrastructure. You will connect this system to the semiconductor database (DB) and its description, and train the agent accordingly. Furthermore, you will investigate how effectively the agent can translate natural language intent into deterministic database operations. You will also analyze the efficiency and accuracy of the agentic system's autonomous reasoning loops compared to traditional human-in-the-loop data science workflows. Finally, you will learn how the agent tests hypotheses using historical data by simulating interventions (e.g., in manufacturing processes) to make robust, data-driven decisions. profile Education:   Master's degree in computer science, mathematics, physics or a comparable qualification Experience and skills:   Knowledge of Python, Machine Learning, Agentic AI, SQL, Git and MCP; experience in software...

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference. The Robert Bosch GmbH is looking forward to your application! Job Description In this internship, you will help to extend a process development toolbox to a wider range of fastening and assembly processes. Our goal is to leverage artificial intelligence to make the toolbox smarter and more efficient. You will test and enhance the toolbox using data from various manufacturing processes. Your task is to build an AI agent to automate and manage data integration workflows. You will also evaluate process data, identify new requirements, and contribute to the ongoing development of the toolbox. You will help us apply and expand a process development toolbox to new and exciting manufacturing processes. The...

Tasks At Bosch Research, we are pioneering the next generation of Physical AI-intelligent systems that can perceive, reason, and act robustly in the real world. From automated driving to robotics, our goal is to develop AI technologies that are not only highly capable but also safe, efficient, and scalable. Despite remarkable progress in foundation models and end-to-end learning, today's autonomous systems still struggle to generalize reliably to new situations and often require enormous amounts of data and computational resources. For Bosch products, however, AI solutions must deliver strong performance while operating under real-world constraints such as limited compute, energy efficiency, safety, and reliability. In this PhD project, you will explore new approaches for creating the next generation of efficient autonomous decision-making systems. Your research will combine ideas from imitation learning, reinforcement learning, large-scale simulation,...

Tasks At Bosch Research, we are driving the next generation of physical AI – intelligent systems that can perceive the real world, reason, and act robustly. From automated driving to robotics, our goal is to develop AI technologies that are not only powerful but also safe, efficient, and scalable. Despite remarkable progress in foundation models and end-to-end learning, today's autonomous systems still struggle to reliably generalize to new situations and often require enormous amounts of data and significant computing resources. For Bosch products, however, AI solutions must also deliver strong performance under real-world conditions – such as limited computing power, high energy efficiency, safety, and reliability. In this doctoral project, you will explore novel approaches to developing the next generation of efficient autonomous decision-making systems. Your research combines ideas from imitation learning, reinforcement learning, large-scale simulation,...