Development állások Németországban (it programozás, fejlesztés)

gather, coordinate and manage requirements for the image acquisition system and its interfaces definition at multi-disciplinary level...

Responsibility for all information security issues within the institution and with regard to third parties....

SDLC Ownership: Design and optimize the full software development life cycle, from initial planning and analysis through to production deployment and maintenance....

• Set up and integrate complex robotics systems for mobile manipulation tasks
• Computer vision algorithms are often developed in close collaboration with Computer Vision and AI Engineers
• Hardware drivers for various types of new robots, actuators, and sensors
• New UI screens

• 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

• 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.

Achieve the strategic goals of the state Baden-Württemberg in training on HPC and Data Intensive Computing, (after a successful transitional phase) by leading the training work package of the bwHPC-S5 project....

• Leading the architecture discussion for the Core Platforms (CRM, Billing etc.) to deliver seamless business solutions for the Energy Retail Segment
• Collaborating with business stakeholders to understand requirements and translate them into scalable and effective technical designs

Act as a Business Analyst within the Order Fulfilment (OF) workstream, managing end-to-end processes including sales orders, project creation, delivery, invoicing, and closure;...

We are seeking a Development Architect to join our M&A IT Team to support our M&A Post-Merger-Integration projects and programs in a workstream lead and Subject Matter Expert role. This role acts as a Subject Matter Expert for Entitlements Management and Fulfilment processes providing deep...

Taking over a role of senior responsibilities in the research activities of LRZ's BDAI team, addressing the enhancement of current and development of future LRZ AI service offers. Here you will be initiating and contributing to research projects, their preparation, applications for funding and...

• Support strategic discussions and product designs in the customer identity product area.
• Create and support the execution of the product roadmaps, with an outcome/ KPI-driven mindset.

• Defining and driving product vision, roadmap, lifecycle strategy and ecosystem capabilities in alignment with business strategy
• Contributing to portfolio decisions, including make/buy/partner evaluations and ecosystem expansion

• Conduct independent research at the intersection of data science and public policy with a focus on ML/AI, causal inference, and/or computational methods;
• Collaborate with faculty and Data Science Lab members on joint research projects;

• Analyzing customers' existing landscape from the technology perspective and provide transformation recommendations based on the findings
• Preparing outside-in target architecture based on available guidance and best practice recommendations to accelerate the scoping discussion with the customer

• Lead and coordinate all software develop­ment activities across the complete project lifecycle
• Define, implement, and track soft­ware project plans, milestones, and deliverables
• Ensure compliance with automotive standards (e.g. ASPICE, ISO 26262) and customer-specific requirements

• Lead the design, development, testing, and maintenance of the flaQship toolkit
• Integrate the flaQship toolkit via standardized APIs into the national quantum computing full stack and enable workflow-integration with established toolkits and framework (e.g. MQT or Eclipse Qrisp)

• define and further develop functional architectures for a sub-system of complex semiconductor systems for mask inspection
• analyze system requirements and derive technical specifications of modules belonging to image acquisition unit from them

• Training and inference of distributed systems
• Development of cloud-native infrastructure
• AI operationalisation (“MLOps”)
• Efficient data storage, management, and connection
• Latency or resource restrictions in AI applications
• Hardware implementations on graphics processing units

• Design, develop, and integrate components for establishing trust (e.g. via SPIFFE) and securing network connections (e.g. mTLS, IPSec, Wireguard) in dynamic environments
• Leverage existing Open Source software to implement state of the art security features