Internship állások Külföldön (programozó, fejlesztő)

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

• 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's thesis following your internship

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.

• Build Fullstack Features: Implement user-facing features using modern frameworks and connect them to backend APIs.
• Backend Development: Contribute to Python-based backend services (Django REST or FastAPI), including API endpoints and business logic.

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship or working student position

• 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

Your role will be at the forefront of tackling complex challenges in the field of ophthalmology...

In 18-24 months, you will go through various stations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...

• An opportunity to join a growing company with many career options
• Working hands-on with cutting-edge technology
• Interdisciplinary mentorship by experienced PhD-level experts
• A modern working environment, partial remote work is possible

• 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

• Take an existing internal embedded development platform and port it to Zephyr RTOS as a proof-of-concept
• Create or extend lab setups involving various microcontrollers
• Explore the use of NPUs, DSPs, or other accelerators in RTOS-based systems

• Select suitable wave-optical propagation algorithms from in-house or open-source implementations
• Select relevant use cases and appropriate evaluation metrics
• Develop Python code for the evaluation and visualization of various propagation algorithms for selected applications

• You will familiarize yourself in detail with the implementation and structure of existing in‑house software tools.
• You will contribute to the conceptual development and software implementation of methods for load processing and fatigue analysis for various applications of our large‑diameter bearings.

• You will contribute to improving our foundation recommender system
• Your role involves exploring and evaluating new machine learning methods, including applications of LLMs for recommender systems
• Expect to support personalized CRM communications (push notifications, in-app messages, newsletters)

Our Berlin Technology Centre has a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies. You will work alongside the brightest minds in the business, as you develop your digital skills and explore where...

• 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.

• Experience engineering management firsthand: from team rituals to strategic planning
• Build and evaluate AI tools that support leadership and operational tasks
• Improve data-driven approaches to organizational decisions
• Contribute your ideas in team meetings where they'll have a real impact

• Contribute to building and maintaining robust Java microservices that power creative tools
• Explore cloud technologies and dive into AWS infrastructure alongside experienced developers
• Help ensure quality and reliability through testing and providing fresh perspectives on our solutions

• Propose innovative methods to abstract EVCC functionality, transforming it from a hardware-dependent system to a flexible software component.
• Collaborate closely with our internal and external engineering partners to implement and integrate the software component into a rapid prototyping environment.

• Use your in-depth networking knowledge to shape, build and maintain the networking underneath for thousands of managed Kubernetes clusters on various cloud providers.
• Design and develop solutions for networking problems within Kubernetes clusters and around them.