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• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

• 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

• Develop and refine MxR prototypes using Godot and C++.
• Implement new features for immersive clinical applications.
• Collaborate with engineers and surgeons to evaluate prototypes in real-world settings.

• An opportunity to build the foundation for next-generation products
• The option to write a master thesis following an internship or working student position
• Hands-on work on intrinsic, extrinsic, and multi-camera calibration for ZEISS use cases

Build AI agents and automations: Identify repetitive processes across the company, then design, build and deploy LLM-powered agents and workflows (e.g. Claude API, tool use / MCP) that take them over, from prototype to production....

• You will work in our motivated and solution-oriented AI Feature Team using agentic development methods and with a high degree of personal responsibility.
• You will design, develop and deploy scalable AI-enabled features in our products that are used by more than 100’000 customers.

• Providing technical expertise to build effective and scalable PLM solutions
• Supporting validated and non-validated production PLM systems by resolving access, incident and change requests
• Enhancing user experience
• Requirement gathering, analysis, build and test

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Develop, maintain and optimize Python and Linux shell scripts for data extraction, transformation, and loading.
• Build automated pipelines and reusable code modules to support recurring reporting and analytics workloads.
• Ensure accuracy, completeness, and consistency of datasets.

• Designing and delivering engineering solutions for our businesses and customers
• Providing production engineering services that keep our technology safe, stable and reliable
• Analysing business data within Deutsche Bank to shape plans and delivery

Develop and operate platform services for LLM routing, model access, MCP tool registration, identity and permissions, rate limits, team budgets, tracing and auditability....

• Design, implement and maintain embedded software based on requirements and software architecture
• Document software designs and implementation decisions
• Develop and maintain software units and components in MISRA C, following IEC 62304 and applicable development processes

Analysis: you will support our partners in innovative projects and develop customized technological concepts that make our processes easier and more efficient....

• Combine your studies with hands-on experience as an intern or working student to support applied research and prototyping in medical soft-body simulation for six months or longer
• Implement and validate soft-tissue deformation models using real patient data to build and validate simulation pipelines.

• Develop robust, reusable software components in modern C++
• Design APIs, interfaces, and software architecture
• Build and maintain workflows (build, packaging, deployment) and improve CI/CD with GitHub Enterprise/Actions

• Supporting software project management (depending on experience, you may take on the role of Scrum Master)
• Supporting general project activities (e.g. organization of PI events)
• Supporting software systems engineering, e.g., by creating requirements and documentation, performing tests

• Rapidly build demos, prototypes, proofs of concept, and MVPs that bring AI use cases to life for clients and account teams.
• Translate client problems into working technical concepts using models, agents, data, workflows, APIs, integrations, and user experience patterns.

• Designing and delivering engineering solutions for our businesses and customers
• Enhancing our infrastructure capabilities and functions with new and fresh ideas
• Performing and improving QA and Test Automation frameworks

• Design and build AI agents and workflows that solve concrete business problems
• Take technical ownership of applied AI solutions - from architecture decisions to engineering standards and code quality
• Build enterprise-grade solutions on modern AI platforms, mainly Azure

• Build and contribute to cloud-native software applications and developer tooling.
• Explore modern technologies across artificial intelligence, AI agents, mobile development, and cloud platforms.
• Automate development workflows to make software and product development faster, simpler, and more reliable.