9 software engineering jobs found in Stuttgart

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...

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,...

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...

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 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,...

Your Mission & Challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, annotation workflow design, and machine learning — with a strong focus on building training datasets for multimodal foundation models that connect perception, language, and robot action. Your primary responsibility is to design and maintain scalable workflows for automated and human-in-the-loop annotation, ensuring that datasets are properly labeled, curated, validated, and formatted for efficient model training and evaluation. You play a critical role in enabling high-quality embodied AI systems by transforming raw multimodal robot data into structured, reliable, and semantically rich training datasets. Design, build, and maintain pipelines for automated, semi-automated, and human-in-the-loop data annotation, with a focus on subtask labeling for long-horizon robot demonstrations Develop annotation workflows for language-grounded robot...

Jobs We, the Gubor Group, are a successful, family-run company with around 1,400 employees and one of the leading confectionery manufacturers in Europe. We produce our products at four locations in Germany and one in Poland. In sourcing, production, and marketing, we are committed to sustainability and fair trade. With our brands   Riegelein   ,   Friedel   ,   Sun Rice   ,   Gubor   , and   Eichetti   , as well as our private label products, we have established ourselves as a reliable partner for consumers and retailers through quality, dependability, and continuous innovation. For our location in   Dettingen unter Teck Rübezahl Schokoladen GmbH has   the following position available   immediately : Data & Analytics Finance (m/f/d) full-time What tasks await you: Building a robust data and reporting landscape for the financial sector Improving data quality and data availability Automation and further development of reporting and analysis...

You thrive in your mission because: The legitimation and qualification of online shop registrations is your responsibility and ensures high data quality throughout our processes. You carefully check, validate and maintain master data in our systems, ensuring its quality, completeness and integrity on a sustainable basis. You will independently carry out data migrations and analyses, and derive optimization potential for our data and process landscape from them. Together with different departments, you will work on the further development of master data processes and support the implementation of cross-departmental improvement measures. Furthermore, you will actively participate in projects related to data quality, master data harmonization and system optimizations, and support the introduction of new standards and processes in master data management. Your skills? More than interesting: A completed commercial apprenticeship or a comparable qualification...