11 jobs found in Renningen

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,...

Area of ​​activity: Research & Development incl. Design Department: Basic Functions & System Engineering Company: Mercedes-Benz AG Location: Mercedes-Benz plant Sindelfingen, Sindelfingen Start date: November 1, 2026 Publication date: September 14, 2026 Job number: MER00048BV Working hours: Part-time Tasks At Mercedes-Benz Cars Development (RD), we shape the automotive generations of the future. This means innovative products of the highest quality and efficient development processes. Within the development of control units for braking systems, we are continuously evolving through the use of artificial intelligence (AI). To support our team, we are looking for a working student who uses modern AI technologies to analyze, automate and sustainably optimize development processes. These are some of the challenges you will face: Analysis of existing development processes in the field...

Area of ​​activity: Production Department: MO360 Product Owner Company: Mercedes-Benz AG Location: Mercedes-Benz plant Sindelfingen, Sindelfingen Start date: 12.10.2026 Publication date: August 31, 2026 Job number:MER00047VF Working hours: Full-time Tasks You don't just want to analyze data, but build real applications that are used in vehicle production? Your thesis in the MO360 Product Owner Team focuses precisely on that: developing and testing data-driven applications. Our MO360 Product Owner (MO/ETS) team is responsible for the central design, implementation, and management of digitalization for the global production network of Mercedes-Benz Cars Operations (MO). MO360 is our digital backbone for vehicle production. In a dedicated team, you will work on the conception, development, and enhancement of MO360 applications – acting as a liaison between the business unit/customer and our...

As a family-run, high-tech company with nearly 19,000 employees at 71 locations worldwide, we are looking for forward thinkers with unconventional ideas and drive to join our team. Our company culture, which values ​​collaboration and mutual trust, creates the ideal framework for boldly trying new things and questioning the status quo. Our technologies inspire people to develop and produce things that are currently unimaginable. Whether lasers, machine tools, EUV or electronics - TRUMPF is building technological worlds for future generations. Are you ready for new challenges? Your new task As part of our AI Hub, you will work with specialist departments to design concrete AI use cases and take responsibility for developing and operating models and systems from idea to production-ready solution. Through targeted selection, training, and feature and prompt engineering, you can bring AI models from the fields of machine learning, computer vision, and large...

STUTTGART Tasks We are looking for an   IT support and monitoring specialist   for key roles in the production IT control center, with comprehensive knowledge in incident management, knowledge management, problem and change management, as well as monitoring and AI solutions. Your tasks will include the following in detail: You will be responsible for receiving and processing   IT incidents and service requests,   and ensuring complete documentation in the ITSM tool. As a single point of contact (SPOC), you coordinate the   operation and support of production and logistics IT systems   to ensure smooth operations. In second-level support, you will assist in   analyzing and resolving complex issues   using innovative AI solutions and contribute your expertise to optimize IT processes. You are responsible for   monitoring and processing reported incidents   , escalating them as needed, and ensuring efficient problem resolution. By...

STUTTGART Tasks We are looking for an AI-driven support and monitoring specialist with an interest in incident management, problem and change management, and monitoring in the production IT control center. Additionally, you will use innovative AI technologies to further optimize our IT processes. Your tasks will include the following in detail: You will handle IT incidents and service requests and ensure complete documentation in the ITSM tool. As part of a team, you will work on analyzing and resolving complex issues and contribute your knowledge and new ideas from the world of AI to optimize IT processes. Your tasks include troubleshooting as well as optimizing and further developing IT systems in production. By developing and implementing monitoring and health check processes, you actively contribute to the early detection of deviations and ensure the stability of IT systems. You also utilize AI and cloud-based tools to optimize...