We programozó állások, munkák egyetemi végzettséggel

• Design, develop, and optimize automation systems for supercapacitor production lines
• Program and maintain PLCs (e.g., Siemens) and industrial control systems
• Develop and maintain HMI/SCADA systems for production monitoring and control

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments....

• Development of computational linguistic methods for the recognition and interpretation of (multimodal) metaphors
• Exploring the use of deep learning and LLMs for metaphor analysis
• Creation of annotated corpora and datasets
• Collaboration in an interdisciplinary team

You will design and deliver end-to-end ADAS AI models such as object detection, behavior prediction, and trajectory planning - from data analysis and model design to SOP-ready release....

• You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.
• Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation.

• You design and implement a cloud-native, multi-tenant and secure asset monitoring platform for distributed fiber optic sensing solutions
• You build robust, secure and observable platform components, data models, interfaces and APIs

- development and parameterization of machine learning interatomic potentials - implementation of new algorithms in scientific software packages - generation of training data using electronic structure calculations, atomistic simulations - presentation of scientific results at conferences and in...

You design and build high-performance search and query pipelines over PB-scale MDF4 and MCAP data lakes, enabling ML engineers to find relevant driving scenarios, sensor conditions, and edge cases across billions of records in seconds....

Cloud platform engineering: Develop and implement automation processes for the deployment and operation of cloud software and services using platform engineering, infrastructure as code (e.g., Terraform), and Kubernetes....

We are seeking a Field Applications Engineer (FAE) to support our customers in Central Europe, with a primary focus on MCU hardware and software solutions. The ideal candidate will have a strong technical background in microcontroller technology and a passion for helping customers integrate our...

You build and maintain end-to-end ML pipelines using workflow orchestration tools: from data ingestion to distributed training, evaluation, model compilation, and deployment-ready artefacts....

• Lead and mentor a team of developers, fostering a culture of excellence, collaboration, and innovation
• Technical strategy: Drive architectural decisions, coding standards, and best practices across the stack

Detailed characterization of pristine HSDP2 samples, as well as samples that have undergone thermal analysis, using a variety of techniques....

• Research on learned components for streaming data systems, such as
• learned cost, latency, and throughput models for continuous and multimodal queries,
• learning-based scheduling, parallelism, and resource allocation for streaming operators, and

• Research using behavioral experiments to incentivize consumer flexibility
• Publication (also as co-author)
• Co-supervision of bachelor and master theses (in the context of the project)
• Participation in CoDeF activities
• Academic self-governance

• Partnering with IT and business stakeholders to translate operational needs into scalable ServiceNow solutions, including service catalogs, workflows, and reporting
• Facilitating workshops and aligning ITIL-based processes with ServiceNow capabilities to drive adoption and process excellence

- Acquisition and conversion of textual corpora from diverse sources into a shared TEI schema - Refinement of the shared TEI schema and documentation as a TEI customization (ODD) - Supporting full-text digitization via OCR/HTR pipelines - Management of image collections - Modeling metadata for text...

• 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

Strategic Blueprinting: Design and maintain the corporate IT enterprise architecture, ensuring seamless connectivity between Commercial and G&A systems and the broader company infrastructure....