Python fejlesztő állások, munkák it programozás, fejlesztés területen

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

What you`ll do: You'll build autonomous operations capabilities within the “Apeiro Reference Architecture” ApeiroRA as part of the EU's IPCEI-CIS initiative to strengthen Europe's digital sovereignty, solving complex challenges that eliminate manual incident response, and enable predictive...

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

Design, prototype, and refine LLM based features over large document sets Orchestrate multi step, agentic workflows and tool calling including MCP servers and other integrations Define evaluation frameworks, experiments, and metrics to measure model quality, relevance, and safety Use AWS services...

• 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.

• 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

Kutatás-fejlesztési projektek végigkövetése a tervezéstől az átadásig Beágyazott vezérlők programozása C nyelven Prototípus berendezések beüzemelése Prototípus berendezések tesztelése Belsős és partner cégek villamos mérnökeivel való együttműködés Belsős és partner cégek programtervező mérnökeivel...

Development of highly scalable services realizing AI/ML functionalities Implementation of machine learning solutions for computer vision and NLP use cases Work with Large Language Models (LLMs) and perform prompt engineering tasks Design and implementation of data transformation services for use...

Build Europe's sovereign cloud infrastructure through open source at SAP, with a focus on network automation. You'll contribute to the ApeiroRA Reference Architecture within the EU's IPCEI-CIS initiative, developing Kubernetes operators and controllers that automate network provisioning and...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

• Architect and build the high-performance backbone of our data platform
• Focus on distributed computing stability and building effective caching strategies for large-scale operations
• Design ETL pipelines and architect resilient caching for complex dependency resolutions

Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud Providing mentoring and technical support to junior and medium teammates Acting as a trusted advisor to clients Developing highly scalable services realizing AI/ML functionalities (e.g. NLP, ML...

• You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• 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

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

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...

Building and optimizing inference pipelines for large-scale model serving Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching Optimizing and implementing core ML...

• Conducting a comprehensive literature review on the current state-of-the-art methods in E2E driving and advanced uncertainty estimation techniques
• Integrating and validating suitable uncertainty estimation methods within the E2E driving pipeline

• Architect complex data flow solutions, enabling transparent, versioned, and fully auditable computations
• Design the data layer by developing metadata and data lineage models fused by semantic graphs and numerical data

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...