Autómatika engineer állások Németországban (programozó, fejlesztő)

You will be a key driver in promoting and implementing innovative Artificial Intelligence solutions within Bosch. Your work will provide significant value to our global engineering quality organization....

• Design, build and operate scalable test automation frameworks for enterprise environments
• Drive and consult on test automation strategies for our customers
• Develop and maintain automated test cases (e.g. regression, integration, system and acceptance tests)

Design, implement, and operate scalable web applications and services based on Java and Spring – from idea and implementation to deployment, monitoring, and optimisation in production....

• Design, and manage deployments on Kubernetes clusters within our internal and commercial cloud infrastructure
• Develop and maintain state-of-the-art/modern FastAPI-based microservices, ensuring automated and reliable deployment using Helm charts and Pulumi

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

• Build and evolve mobile solutions: Design, develop, and maintain high-quality React Native applications.
• Own architecture and technical decisions: Understand platform specifics, runtime behavior, dependencies, and deployment pipelines to ensure maintainable, efficient, and scalable mobile solutions.

• You develop and industrialise end-to-end machine learning algorithms for ADAS functions.
• Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches.

Architecture & System Design: Identify and address architectural limitations, make pragmatic trade-offs, and help evolve systems toward scalability, reliability, and long-term maintainability....

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

• Lead and mentor a team of developers, fostering a culture of excellence, collaboration, and innovation
• Technical strategy: Drive architectural decisions, coding standards, and best practices across the stack

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

As a Research Engineer, you will develop cutting-edge Vision-Language-Action (VLA) architectures that empower AI agents to interpret human instructions and act autonomously in complex environments....

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...