Dynamics developer állások Németországban (programozó, fejlesztő)

• Work with conversation diaries, transcripts, audio, and video recordings to build structured datasets
• Develop and run analyses on conversational dynamics (e.g., content, tone, turn-taking, sentiment, behavioral indicators)

• developing the control software for the next generations of lithography systems, driving the progress in the semiconductor industry
• implementing best in class embedded control systems on bare metal and on embedded Linux
• contributing to the software architecture definition and design

Key job responsibilities * Participate in the design and development of state-of-the-art SQL query processing engines * Define query rewrite rules and optimize query execution time in distributed databases. * Participate in code and design reviews to maintain our high development standards. *...

• Together with your multi-functional team you fully own the libraries you work on.
• We improve the platform architecture to integrate current and future standard processes.
• You contribute to a high standard of quality, robustness, and security in code and the development process.

• Design and implement ServiceNow applications and workflows for our enterprise customers.
• Configure and customize modules such as ITSM and ITOM (must-have), as well as HRSD, CSM, or App Engine.
• Develop custom applications using JavaScript, Glide, Flow Designer, and IntegrationHub.

• Work in a cross-functional team with full ownership of the services you develop.
• Enhance platform architecture to support current and future standard processes.
• Contribute to high standards of code quality, robustness, and security.

Conception, development and deployment of workflows for the import of metadata from service like the catalogue of the German National Library, the Gemeinsame Normdatei (GND) or Wikidata into a VIVO based knowledge graph....

• Develop Python code to access and gather a large variety of geological databases into a consistent data catalogue
• Develop data processing pipelines to organise, prepare and transform the data into a format suitable for direct integration within models

• Your primary focus is on implementing HMI-related services, with the user interface to be developed using QML
• Your role involve working on both the functionality and visual aspects of the interface, ensuring a seamless and intuitive user experience

• Design our software, analyze problems and implement your solutions independently focusing on C++ development and network protocols
• Develop complex software modules together with our agile development teams

• Develop and maintain high-performance software solutions using modern C++ to enable quality assurance in near-production industrial environments
• Collaborate with dynamic and highly motivated agile teams to provide robust workflows for optical, surface, and X-ray metrology

• Develop Python code to access and gather a large variety of geological databases into a consistent data catalogue
• Develop data processing pipelines to organise, prepare and transform the data into a format suitable for direct integration within models

• Design, develop, and maintain applications.
• Optimize and enhance existing applications and infrastructure.
• Ability/interest to work with machine learning.
• Collaborate and communicate with various teams within the company.
• Ensure all applications reflect our internal policies and standards.

• Collaborate with the user team to enhance the functionality and performance of our AI chatbot
• Evaluate different LLM agent frameworks to optimize development and functionality
• Integrate new internal knowledge sources and refine the RAG pipeline to improve the chatbot's knowledge base

Design and develop scalable data architectures for integrating our tailored and standard software solutions into our clients' environments, collaborating with professional services, software engineering and cloud operations....

• Design, Prototype and experiment, turning new ideas into tangible MVPs and proofs of concept through refining them with feedback from consultants and clients.
• Lead the development of AI products tailored to real business challenges — from concept to scalable implementation.

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)