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You own the full lifecycle of machine learning models - from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems....

Design, develop, and maintain SAP's official AI Core SDKs for Python, Java, and TypeScript....

• Implementation of software components in the flight simulation field
• Planning and conducting Unit-tests
• Integration of software parts into the overall system
• Definition and implementation of integration tests
• Documentation according to project specifications

• Development and maintenance of embedded software components in C/C++
• Porting and rehosting existing software solutions to new target architectures
• Parallelisation of software processes on multi-core processors
• Integration and use of tools such as Tiger Lab for simulation and analysis

• development of computational methods and processing pipelines for large image datasets
• application of existing and development of new analytical and ML solutions
• data visualization and communication
• work in close collaboration with our medical collaboration partners

• Implementation of software components in helicopter simulations
• Integration of software components into the overall system
• Definition and execution of integration tests
• Creation of the documentation under consideration of project specifications

Work alongside experienced engineers as part of a development team Support existing projects Explore and prototype ideas for the future Work across all aspects of the software life cycle Upstream code into an Open Source project...

In this role, you will shape SAP's Microsoft Platforms portfolio and support tens of thousands of customers running SAP solutions on Microsoft technologies. You will develop, maintain, and enhance the Microsoft SQL Server platform for both cloud and on‑premise SAP customers—ensuring they benefit...

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

Backend .Net Software Engineer (m/w) 100% Ärztekasse Genossenschaft provides business process outsourcing and eHealth solutions to health professionals so they get relief from administration and can focus on medical work. In the context of an innovation initiative, Ärztekasse is renewing and...

Learn the existing system architecture, codebase, tools, and development practices Validate existing technical documentation and flag any gaps or outdated content Proactively highlight blockers to knowledge transfer (e.g., missing info, unclear logic, inaccessible systems) Maintain coding...

• Design and implement modern front-end interfaces for energy performance dashboards and AI-driven applications
• Develop interactive visualizations and compelling data storytelling components for business stakeholders

• An opportunity to build the foundation for next-generation products
• The possibility to conceptualize and implement interaction design and to prototype with new hardware and sensors
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship position

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Take end-to-end responsibility for complex projects or defined areas of ownership
• Act as a senior expert on technical and business topics, driving high-quality solutions
• Work independently, set priorities, and resolve complex cross-functional challenges

• Collaborate on quality inspection algorithms in challenging applications for factory environments
• Investigate potential of foundation models for industrial quality inspection
• Investigate XAI algorithms for Vision Language models

• Designing and maintaining the overall software architecture for our metrology systems
• Collaborating with Software Engineering, Hardware, and Product Management to align architecture with technical and business requirements

development of novel machine models based on supervised, unsupervised and reinforcement learning that can be combined with, enhance or replace methods from computational engineering and computer simulation...

Design and implement scalable, secure, and maintainable fullstack solutions for AI-enabled applications and platforms, including components that leverage LLMs to enable advanced user interactions and automation...

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.