Embedded software engineer állások Németországban (it programozás, fejlesztés)

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

• Serve as the technical lead and go-to expert for Salesforce Service Cloud across the organization
• Provide expert guidance on platform capabilities, limitations, and best practices to product and development teams

• Serve as the technical lead and go-to expert for Salesforce Service Cloud across the organization
• Provide expert guidance on platform capabilities, limitations, and best practices to product and development teams

• Serve as the technical lead and go-to expert for Salesforce Service Cloud across the organization
• Provide expert guidance on platform capabilities, limitations, and best practices to product and development teams

Lead the installation, configuration, maintenance, and performance optimization ofMS SQL Server,PostgreSQL, andOracle databasesin a dynamic, enterprise-level setting, ensuring reliability and excellence at every step....

• You design and implement a cloud-native, multi-tenant and secure asset monitoring platform for distributed fiber optic sensing solutions
• You build robust, secure and observable platform components, data models, interfaces and APIs

Focus on the medical applications of our ORBIS hospital information system, you will be responsible for customised configuration using our development tools (ORBIS Form Designer, ORBIS Medical Query Generator, ORBIS Experter, Jaspersoft® Studio, ORBIS U-Composer)...

This involves configuring and utilizing debugging tools and techniques to capture precise measurements of the execution times of individual functions and code blocks within the bootloader software. The frequency of function calls should also be logged to obtain a comprehensive understanding of the...

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

As a PhD candidate, your tasks will include investigating how foundation models can be effectively applied in industrial reality. To this end, you will develop innovative methods for adaptation, validation, and deployment....

• Design, maintain and deploy scalable, end-to-end training pipelines, including hyperparameter optimization
• Transfer control policies from simulation to real robotic hardware
• Integrate learned policies into a full-stack robotic system, including perception, planning, and actuation

• Creating, refining, and maintaining high-quality 3D assets for digital twin applications
• Optimizing existing models and developing new assets in Blender for real-time visualization and simulation
• Building clean and efficient geometry, topology, UV layouts, and material setups

• You work in a young team using state-of-the-art tools on the AP Sensing Edge Platform for Distributed Acoustic Sensing.
• You support the design and implementation of a quality assurance strategy for Rust-based systems, with a focus on performance, functional correctness, and system resilience.

• Implement and evaluate state-of-the-art motion planning and control approaches for highly unstructured environments
• Develop, refactor and maintain motion generation pipelines building blocks in a large robotics codebase
• Test approaches on real hardware in greenhouses

Manipulating and analyzing complex, high-volume and high-dimensional data to gain insights by using appropriate data analysis techniques, algorithms and programming languages in close collaboration with subject matter experts...

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....

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

• Collaborate with business stakeholders and leadership teams to gather requirements, develop, and support data modelling and BI solutions for organizational stakeholders
• Integrate different data sources into a cohesive data fabric, ensuring data consistency, accuracy and reliability