Research Engineer for Foundation Model ML Ops at Bosch Group | Renningen

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 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.

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.

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.

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.

Join Bosch Group as a Master Thesis student focusing on Automated Driving Systems. This opportunity allows you to engage in innovative research and development projects that shape the future of mobility. As a part of our team, you will work closely with experienced professionals, gaining hands-on experience in cutting-edge technology.

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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 Master's Thesis candidate focused on the optimized design of robotic assembly systems. This opportunity allows you to contribute to innovative solutions in automation and robotics, while gaining valuable hands-on experience in a leading global technology company.

Bosch Group seeks a Tech Lead Software Engineering for Cloud-Based Industrial AI Solutions in Renningen. This role leads a team dedicated to developing cloud software that supports greater efficiency in industrial operations. Key Responsibilities Direct the development of AI-driven cloud applications tailored for industrial settings Mentor and guide a team of software engineers throughout project lifecycles Define the technical approach and ensure successful project delivery Location This position is based in Renningen.

Bosch Group seeks a Tech Lead to oversee the development of AI features for cloud-based industrial software. This role centers on creating new AI capabilities to enhance solutions used in industrial environments. Main responsibilities Guide a team in designing and building AI features on cloud platforms Work closely with experts from various fields to advance industrial AI applications Lead efforts to improve software that supports optimization of industrial processes Location This position is located in Renningen.

Join the Bosch Group as a thesis student and explore the fascinating realm of personalization in future mobility systems. This project will allow you to contribute to innovative solutions that shape the future of transportation. You will collaborate with experienced professionals and have the opportunity to implement your own ideas in a practical environment.

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 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.

As part of your thesis project, you will develop and test a position controller for an innovative electromechanical steering controller.Initially, you will analyze and model the steering controller within the control loop.Based on your model, you will derive the requirements for a controller, design the controller, and implement it in Simulink.Furthermore, you will test the controller on a test stand and optimize the parameters.Lastly, you will document your findings in your thesis and present the results to the team.

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.

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 Bosch Group as a Master's thesis candidate focusing on data-efficient hybrid machine learning methods aimed at enhancing the reliability of vibration system predictions. This opportunity allows you to work alongside industry experts, engage in cutting-edge research, and contribute to innovative solutions that will shape the future of predictive analytics.