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'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...

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: Research & Development incl. Design Department: Device Integration Company: Mercedes-Benz AG Location: Mercedes-Benz plant Sindelfingen, Sindelfingen Start date: November 16, 2026 Publication date: September 30, 2026 Job number: MER00048W1 Working hours: Part-time Tasks In our department Infotainment Device Integration, we are responsible for the seamless integration of consumer devices such as smartphones, headphones, and wearables into the vehicle infotainment system. This includes the development, validation, and continuous improvement of technologies such as Bluetooth, Apple CarPlay, and Google Android Auto. We are looking for you as a Working Student Data Analytics for Infotainment Systems for this exciting and challenging area. You will master these tasks: Analyze quality, usage, and diagnostic data from customer vehicles in the field Identify product...

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...

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...

Welcome to CBTW! We are an innovative team with over 3,000 employees in 21 countries and leaders in strategy & governance, software engineering, data analytics & AI and more. As a member of our team at CBTW, you'll work in an inspiring environment on challenging projects. We foster the development of tomorrow's experts and value your ideas. If you're ready to shape the future of data-driven transformation with a highly motivated team, apply to CBTW now! Together, we'll achieve great things. Tasks Contributing to the development and further development of modern   data platforms and data architectures   , e.g., based on   Data Lakehouse and Medallion architectures. Development and optimization of   data pipelines   for data processing and integration. Working with technologies such as   Databricks, Apache Spark, SQL and Python. Support for using and integrating   Databricks components   such as   Unity Catalog Contributing to the...

Stuttgart Full-time On-site About Us A leading player in the automotive industry, based in the Stuttgart metropolitan region, is seeking a dedicated professional to strengthen its overall vehicle quality and project management department. In an innovative and interdisciplinary environment, you will work at the interface of data analysis, process optimization, and strategic decision support – with a focus on sustainable quality improvement and efficient project management. As part of a cross-site team, you will contribute to developing data-driven solutions that make performance measurable and manageable across the entire automotive value chain. Your tasks Analytical support for project managers in the area of ​​overall vehicle quality through structured data processing and evaluation. Participation in the development and improvement of processes for measuring and improving interdisciplinary departmental performance Collection,...