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• Build and operate the highly-available, scalable microservices that form the backbone of the SAP Business Technology Platform.
• Architect and implement the central API gateway, handling massive-scale traffic, security policies, and observability for all of SAP's cloud products.

• Programming (mostly) in Golang (Kubernetes Operators, REST APIs, libraries and tools)
• Designing solutions providing new features for our customers
• Develop and operate highly scalable cloud solutions

assess the applicability of our system dynamics simulation toolbox to mechanical systems which are not yet in scope of the current toolbox development...

• WinningTeam – You are part of a highly skilled and motivated project team and you are eager to contribute to the project success
• GettingToKnow about the Zone Architecture
• LearningAbout different Testing tools used in Automotive

• Develop and maintain framework components and functionalities for our 3tier application platform
• Ensure and constantly improve installability, portability, scalability and servicability of our products

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

• Build agent loops and orchestration: tool use, structured outputs, business-rule enforcement, graceful failure
• Build the integration layer (via MCP) that lets agents securely call backend systems and business APIs
• Render model output into live, streamed, accessible UI via generative-UI protocols

You understand our platform architecture, existing systems and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features....

• Roadmap: You help us shape & deliver on our product roadmap by guiding world class hardware and embedded software engineering teams
• Innovation: You identify growth opportunities and drive measurable impact for the team and the company

• Support the implementation, maintenance and continuous improvement of IT compliance and governance frameworks in line with regulatory requirements (e.g. DORA, ISO 27001)
• Monitor compliance with internal IT policies, procedures and external regulatory requirements (e.g. BaFin expectations)

• Develop both classical algorithms and modern machine learning techniques
• Implement algorithms efficiently on embedded hardware
• Optimize parameters for complex, hybrid image pipelines
• Develop innovative solutions for hardware-constrained challenges

• Design and develop internal tools for R&D users
• Build user-friendly interfaces (web and desktop) for searching, entering, reviewing, visualizing, and managing complex technical data

You will design and write a master's thesis on predictive maintenance for the electric heating elements of a commercial dishwasher....

As a Cloud Architect & Advisor (CAA), you will be responsible for the private cloud technical foundation of RISE with SAP and Business Data Cloud (BDC) engagements. The CAAs' mandate spans the initial sales cycle, subsequent change requests and renewal events for private cloud architecture changes....

Develop, maintain, and optimize automation workflows to increase efficiency, consistency, and reliability across infrastructure operations...

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN. At the BMW Group, everything starts with passion. It turns a profession into a vocation. It drives us to keep reinventing mobility and bring innovative ideas onto the roads. Enthusiasm for joint projects turns a team into a strong unit where every...

• 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

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• Designing and implementing end-to-end data flows from device data ingestion through transformation, storage and consumption
• Defining data models, structures and lifecycle concepts to ensure data quality, consistency and lineage

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.