About the job
We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Responsibilities
Defining and investigating compelling problems in Cyber-Physical AI & Reasoning
Designing, implementing, and evaluating learning-based or hybrid AI systems
Conducting literature reviews and translating insights into practical system designs
Developing experimental pipelines (simulation, real-world testing, data collection)
Analyzing system performance, robustness, safety, and failure modes
Collaborating with interdisciplinary teams spanning AI, robotics, and engineering
Contributing to: Research publications and technical reports
Industrial patents and technology transfer
Prototypes deployed in labs or production environments
Qualifications
Minimum
Master’s or Ph.D. in Computer Science, Robotics, Electrical/Mechanical Engineering, Machine Learning, or a related field
Strong foundation in AI/ML, cyber-physical systems, robotics, control
Experience with programming and experimental system development
Preferred
Experience with physical or robotic hardware systems
Experience with embedded or real-time systems
Experience with multimodal foundation models
Exposure to hybrid or model-based AI methods
Prior research publications, technical reports, or strong project portfolios
Experience collaborating in interdisciplinary or industrial research teams