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. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

• As a Research Scientist at Bosch, you will develop novel neuro-symbolic AI methods that leverage physical priors to enhance learning, reasoning, and decision-making in scientific and engineering contexts.
• Your role will involve investigating how hybrid AI architectures can represent structured knowledge, ensure physical consistency, and support explainable predictions across a wide range of applications – from robotics manipulation and motion planning to industrial process control, as well as energy and sustainability technologies.
• However, you will conduct cutting-edge research in the field of AI, always with the goal of creating practical solutions that can be integrated into Bosch products.
• Furthermore, you will also design algorithms, scalable training frameworks, and evaluate methods that integrate data-driven learning, symbolic reasoning, and physics-informed modeling.
• You will work closely with interdisciplinary teams of researchers, domain experts, and engineers in Bosch's research and business units to incorporate your contributions into future innovations and strategies for intelligent and explainable AI systems.
• Therefore, you will also identify and develop novel applications of AI technologies that enrich Bosch's extensive product and service portfolio.
• Additionally, you will write clean, efficient, and well-documented code that supports both research initiatives and the transfer of technologies into practical applications.
• Through the evaluation of emerging machine learning technologies and the provision of strategic insights, you will shape and influence Bosch's technological development.
• You will conduct experiments on our on-premises GPU cluster as well as in the cloud infrastructure to validate the performance of your solutions.
• Last but not least, you will evaluate, develop, and present new ideas that drive innovation within the company, and make significant contributions to the generation and protection of intellectual property through high-quality publications.

• Education: excellent MSc in Computer Science, Applied Mathematics or a related technical fields, PhD in Neuro-Symbolic AI, Machine Learning or Applied Physics is preferred
• Experience and Knowledge:
  • profound knowledge of hybrid AI approaches that combine deep learning with symbolic reasoning or structured knowledge
  • experience with methods for encoding physical priors (e.g., differentiable physics, symmetry-aware networks, causal models, graph neural networks for physical systems)
  • familiarity with industrial applications in manufacturing, simulation, or scientific machine learningExperience in developing explainable AI systems that adhere to scientific and technical principles
  • ability to apply AI to cyber-physical systems, with a focus on reliability, generalization, and interpretability
  • proven, industry-relevant practical AI experience, e.g., through code contributions in industrial AI applications, in large machine learning projects, or by participating in major AI benchmarks and competitions
  • several years of experience in developing and deploying machine learning solutions in distributed software development teams
  • demonstrated ability to move beyond research prototypes and integrate state-of-the-art AI methods into practically relevant and usable software solutions
  • proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
  • experience with simulation tools for physics and engineering domains (e.g., MuJoCo, PyBullet, Comsol, OpenFOAM, Isaac Sim)
  • familiarity with scalable ML pipelines, Docker, CI/CD, and multi-GPU/cloud infrastructure
• Personality and Working Practice: you succeed as a team player with high self-motivation and conceptual strength in developing creative solutions
• Enthusiasm: driven by the desire to translate the latest research findings into products and services and to integrate state-of-the-art AI methods into industrial applications at Bosch
• Languages: very good English skills written and spoken

https://www.bosch-ai.com
www.bosch.com/research

Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account).

We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need support during your application?
Meltem Arabacioglu (Human Resources)
+49 174 174 4961

Need further information about the job?
Jim Mainprice (Functional Department)
+49 711 811 21859

Work #LikeABosch starts here: Apply now!