Internship in Development & Construction of Research Demonstrators

Bosch Group is looking for an intern to join the team in Renningen and assist with the development and construction of research demonstrators. This position provides practical experience working with emerging technologies and supports active research efforts. Role overview This internship centers on building and developing prototypes used in research. Tasks involve collaborating with engineers and researchers to bring new concepts to life in a hands-on setting. What you will do Assist in the assembly and testing of research demonstrators Work alongside project teams to implement new technology solutions Contribute to ongoing research by supporting prototype development Location This internship is based in Renningen.

During this engaging internship, you will play a pivotal role in supporting the planning and execution of innovative research projects within the realm of additive manufacturing, specifically Laser Powder Bed Fusion (L-PBF).A primary focus will involve the integration of an automated data workflow through a Monitoring System.You will also be tasked with the development and refinement of essential materials to enhance their characteristics.Additionally, you will independently design and conduct experiments, including the analysis and measurement of products concerning microstructure, density, and topography.Lastly, you will contribute significantly to beam diagnostics (caustics).

Join our innovative team at Bosch Group in Renningen, where you will engage in cutting-edge research and development focusing on the thesis development and analysis of optical methods for laser-processed semiconductors. This role offers a unique opportunity to contribute to advancements in semiconductor technology and optical methodologies.

Bosch Group is hiring a Research Engineer in Future Building Technology for its Renningen location. This position centers on supporting projects that advance the state of building technology with an emphasis on sustainability. Main focus Contribute to research and development efforts in building technology Support initiatives that promote sustainable solutions for future buildings Location This role is based in Renningen.

At Bosch, we are pioneers of innovation, dedicated to shaping the future of intelligent systems that are efficient, safe, and improve lives worldwide. We are looking for a forward-thinking Research Engineer to join our vibrant team, specializing in the dynamic intersection of reinforcement learning (RL) and agentic AI. Your innovative contributions will significantly influence critical Bosch sectors, such as automated driving, smart home solutions, energy management, and advanced manufacturing. As an integral part of our team, you will elevate the capabilities of AI technology, spearheading foundational research and developing core systems that will directly enhance Bosch's product offerings. Join us in converting complex challenges into tangible solutions.In this role, you will lead the design and architecture of cutting-edge AI systems, focusing on the seamless integration of reinforcement learning with agentic AI systems and multi-modal foundational models.Your responsibilities will include training and fine-tuning multi-modal large models to ensure their behavior aligns with Bosch's product specifications and real-world applications.You will push the boundaries of AI by improving existing machine learning frameworks and integrating innovative data-driven, generative techniques with secure, scalable reinforcement learning methodologies.A major component of your work will involve conducting original research, leading impactful projects that address complex scientific and practical issues at the intersection of RL and agentic AI, thereby making a significant contribution to Bosch's product line.Collaboration will be essential, as you will work closely with internal stakeholders and product teams to thoroughly understand their needs, conceptualize groundbreaking solutions, and deliver high-quality Minimum Viable Products (MVPs).Additionally, you will have the opportunity to share your insights by publishing and presenting your research findings in top-tier academic forums, while actively contributing to the larger scientific community.

Join our innovative team as a Chief Expert in RADAR and ADAS Sensors Research at Bosch Group in Renningen. In this pivotal role, you will lead the research and development of advanced driver-assistance systems (ADAS) and RADAR technologies, pushing the boundaries of automotive safety and automation.

Join Bosch Group as a Research Engineer in AI Validation, where you will play a crucial role in ensuring the reliability and performance of artificial intelligence systems. You will collaborate with cross-functional teams to develop innovative validation methodologies and contribute to the advancement of AI technologies.

Join Bosch Group as an intern in our Advanced Driver Assistance Systems (ADAS) Product Lifecycle Management and RPP team. This exciting opportunity will immerse you in the world of innovative automotive technologies. You will work closely with experienced professionals to learn about the management of product lifecycles and contribute to the development of cutting-edge ADAS solutions.

Are you passionate about transforming innovative ideas into groundbreaking solutions? Join us as an intern and be part of the journey that takes concepts from the drawing board to successful implementation. Here, you will unleash your creativity and witness firsthand how visionary projects create tangible value.During your internship, you will contribute to the design, pilot, and launch of pioneering formats, concepts, and events, especially in the fields of innovation management and user experience.Your role will also involve supporting our Entrepreneurship Peer Learning Program by creating materials and making them accessible on our internal intranet (Docupedia).You will promote collaboration with universities and external partners to expand our network and create synergies.Additionally, you will assist with process-related topics, export control, and IP management, providing you with diverse insights.At the start of your internship, we will define individual focus areas that align with your skills and interests.

Bosch Group is looking for an intern to support the Operational Security Management team in Renningen. This position provides hands-on experience with the processes that help protect company operations and strengthen security protocols. Role overview The internship centers on supporting ongoing security initiatives. Interns will have the chance to observe and participate in the daily work of experienced security professionals, gaining insight into operational risk management and practical security measures. What you will do Collaborate with security professionals on day-to-day tasks and projects Assist in developing and refining security measures for company operations Contribute to projects aimed at safeguarding operational processes

As an intern, you will engage in simulating various charging scenarios, including vehicle-to-home (V2H), vehicle-to-grid (V2G), uncontrolled charging, and rapid charging techniques.Your responsibilities will also include optimizing charging strategies while considering current market dynamics and climate conditions.Analyze battery aging processes to enhance battery life and performance.Conduct thorough data analyses and assessments to derive meaningful insights.Participate actively in designing innovative features and contribute your creative ideas.Utilize Python to develop new features, integrate them into our systems, perform software testing, and meticulously document your findings.

Join Bosch Group as a Research Engineer specializing in Foundation Model ML Ops. In this exciting role, you will contribute to innovative machine learning operations focused on foundation models. Collaborate with a diverse team of experts to develop and optimize cutting-edge solutions that drive our digital transformation.

Bosch Group is seeking a Research Engineer with a focus on Neuro-Symbolic AI and Multimodal Assistant Systems. This position centers on advancing research and development projects that blend symbolic reasoning with neural network approaches. Role overview This role involves working on intelligent assistant solutions that bring together multiple input types, including text, voice, and vision. The aim is to drive innovation at the intersection of symbolic and neural AI methods. What you will do Contribute to research that combines symbolic reasoning with neural networks Support the development of assistant systems capable of processing and integrating different modalities Help advance Bosch’s work on intelligent, multimodal assistant technologies Location This position is based in Renningen.

Bosch Group is seeking a Research Engineer to focus on Neuro-Symbolic AI and Multimodal Assistant Systems at the Renningen location. This position centers on research and development that blends symbolic reasoning with neural network approaches. Role overview This role involves advancing AI systems that combine logic-based reasoning with machine learning. The aim is to improve how artificial intelligence understands and interacts with complex environments. What you will do Contribute to research projects that integrate neural and symbolic methods Develop and refine AI technologies for use in diverse applications Impact Your work will support the evolution of AI capabilities, helping shape future technologies that rely on both data-driven and knowledge-based approaches.

Join Bosch Group as an intern and dive into the dynamic world of Advanced Driver Assistance Systems (ADAS). This internship will provide you with the opportunity to work closely with our talented team, contributing to the integration and application of cutting-edge ADAS tools. You will gain hands-on experience that will enhance your skills and prepare you for a successful career in the automotive industry.

Join us in the development of control and assistance functions in the eBike sector through model-based methodologies. This internship offers a unique opportunity to create and parameterize a bicycle model using MATLAB/Python, tackling the complexities of parameter influences on functional development.After initial training, you will create a bike model and parameterize it using established methodologies (Meijaard, Papadopoulos, Ruina, Schwab, 2007). You will have access to measurements for model validation and a bicycle prototype.Next, you will adapt and implement intrusive Polynomial Chaos Expansion (PCE) within MATLAB/Python for the bicycle model.This will enable a systematic investigation of how model parameters affect system states.You will experimentally validate the results using the prototype.In the latter half of your internship, you will design a controller and test it through simulation, ensuring robust navigation of the bicycle along a pre-defined path under parameter uncertainties.Furthermore, you will identify the most critical parameters through a global sensitivity analysis and compile your findings into a comprehensive report.

Bosch Group is seeking a master's student to join a project focused on developing a digital PCR platform in Renningen. This thesis work centers on research and technical development within molecular diagnostics, aiming to advance digital PCR technology for improved precision and efficiency in healthcare applications. Project Focus Research and develop digital PCR methods and platform components Explore technical solutions that enhance accuracy and reliability in molecular diagnostics Contribute to innovations that support better healthcare outcomes Collaboration Work closely with industry specialists throughout the project. The environment values new ideas and encourages practical problem-solving as part of a collaborative team. Location This master's thesis position is based in Renningen.

Join Bosch Group as you embark on an exciting master's thesis project focused on the development of physical Python models for drive systems in the cutting-edge field of semiconductor manufacturing. This is an extraordinary opportunity to apply your theoretical knowledge to real-world applications, enhancing your skills while contributing to innovative solutions within a globally recognized company.

Embark on a transformative journey with Bosch Group as you pursue your master's thesis focusing on the validation and optimization of controllers using advanced foundation models. This position offers you the unique opportunity to work at the forefront of innovation in a dynamic and supportive environment.

Join Bosch Group as a PhD candidate in Generative Models for Closed-loop Synthesis. This is an exciting opportunity to engage in innovative research that bridges theoretical advancements with practical applications in the field of synthesis technology.