Energy állások, munkák it programozás, fejlesztés területen

• Familiarize yourself with state-of-the-art methods in reliability modeling
• Develop modeling approaches for load-driven degradation data
• Implement and compare different modeling approaches to identify the most efficient method, taking statistical variation and measurement uncertainty into account

• 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

As a PreMaster in embedded sensor computing technologies, you conduct comprehensive analyses of RISC‑V processor cores and compare them against established commercial and proprietary CPU architectures...

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....

Deal Support: You are the expert! You understand the customer, you know the processes and you can map the values, our software generates to the challenges and opportunities our customers are facing. You support our customers by leading discussions and workshops, explaining, presenting and...

System IP Microarchitecture Specification And Design Contribution Verification, Modelling And Debug In SystemVerilog, C And C++ Proposal And Prototyping Of New Methodologies Verification Plans And Environments Ownership And Development Collaboration With Design, Performance Modelling, Validation,...

• Consult and support business departments in SAP FI/CO (ECC & S/4HANA)
• Analyse, design, and implement end-to-end finance processes
• Contribute to S/4HANA transformations, migrations, and rollouts
• FI (GL, AP, AR, Asset Accounting)
• CO (Cost Center Accounting, Profitability Analysis, Internal Orders)

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

scaled content production, reimagined Content Supply Chain architecture, agentic AI approaches, Document and Business Productivity systems — powered by Adobe Firefly Foundry, Adobe Express for Enterprise, Frame.io, GenStudio, and the solutions still taking shape. This is not a legacy business. It...

Product Strategy & Roadmap: You own the roadmap for the self‑service portal, data catalogue, and analytical workspaces—deciding what we build next, why it matters, and how success is measured....

• Lead and support application onboarding to IAM platforms from consultation to integration. You'll be the go-to expert making it all work
• Collaborate closely with cross-​functional teams to architect, implement, and optimize secure identity solutions that scale with the business

• 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

You will work on a project aiming at implementing a new global indirect procurement software in close coordination with buyers, IT specialist and cross-functional departments...

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

as an expert in systems engineering, you can develop, analyze and optimize EUV sensors/camera systems for high-precision metrology systems...

Product Strategy: You own the end-to-end product vision and road­map for all non-financial ERP capa­bilities across MB Energy (SAP/Implico, OTIS and CODAS), aligned with your business stake­holder demands....

As a research engineer you will develop innovative methods for the validation and release of complex AI models, including probabilistic, generative, and large‑scale models....

• A two-stage qualification program
• Duration of the company phase: up to twelve months
• Personal mentoring

SystemVerilog RTL verification and debug Formal bring-up of non-trivial IP blocks to achieve required quality levels Collaboration with engineers across design, performance modelling, validation, and implementation to meet functional requirements, performance, power and area goals...

• Develop a generative artificial neural network (ANN) for probabilistic radar QPE using single- and dual-pol radar data.
• Extend the developed generative ANN to allow additional conditioning on rain gauge data to provide a merged radar-gauge product.