It programozás, fejlesztés állások, munkák anyanyelvi szintű angol nyelvtudással

• Own and drive the AI product roadmap across ML and GenAI initiatives, balancing near-term delivery with strategic bets
• Partner closely with the different N26 Product Segments and with the AI & Data Science team on priorities, planning cycles, and shared OKRs

• Support the setup, execution, and maintenance of performance tests for Utimaco products.
• Help collect, analyze, and report performance test results, including response times, throughput, resource usage, and system behavior under load.

Your tasks Your tasks Support the setup, execution, and documentation of hardware and driver tests for Utimaco products. Test hardware-related software components and drivers across multiple operating systems, such as Linux, Windows, and other relevant environments. Assist in validating the...

Overseeing all Master Data procedures at Panasonic Industry Europe and implementing actions to ensure updates are reflected in the appropriate support systems, including SAP and workflow applications....

You design end-to-end AI and data architectures from data ingestion to model serving, using and extending platforms within our vehicles with a strong focus on edge computing....

Own and drive the WITS Automation CI program scope, roadmap, and backlog, balancing sustainment and continuous delivery across hardware, software, and cross‑functional initiatives, and ensuring alignment with the overall WITS portfolio and strategic priorities....

• You will integrate models that run on edge devices within the infotainment domain.
• Furthermore, you will prototype & build new GenAI experiences, turning ideas into reality as refined features that will be launched to our customers.

You teach fundamental knowledge with high practical relevance, e.g. for the topics web application development, Java programming, software requirements engineering and web application testing, and are responsible for correcting exams....

You support the enhancement of our data quality by collaborating with Product Managers to maintain and update product data, ensuring it is accurate and up to date....

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

• You design data pipelines for ingestion, curation, pseudonymization, and versioning.
• Furthermore, you implement reproducible training and finetuning builds for GenAI edge device models.
• You set up experiment tracking and artifact registries for model variants.

You own the full lifecycle of machine learning models – from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems....

• You build and operate AI platforms for data pipelines, training, deployment, and inference.
• You optimise for best-in-class AI models, employing suitable ML and LLM approaches.

• You select and adapt base models for voice assistant and intelligence tasks.
• Furthermore, you produce clean, reproducible training, finetuning and evaluation pipelines to refine models for the problem at hand.

Drive the Cloud Infrastructure Security function roadmap in alignment with the Product Manager, Tech Lead, and Engineering Manager....

• You design end-to-end AI and data architectures for future vehicle generations, focusing on the latest AI trends.
• Additionally, you build architectural concepts that cover diverse use cases, such as digital cockpit and driver interaction for holistic customer experiences.

You design and operate knowledge graphs and graph databases that capture domain knowledge, toolchain topology, operational incidents, root-cause analyses and lessons learned – enabling graph-based retrieval across the organization....

You build and operate cloud-based validation environments for a multi-agent system that operates across ADAS, Infotainment and backend-service domains – defining test architectures, scenario pipelines, behavioural oracles and regression suites....

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....

• Independent risk reviews within the bid phase
• Execution of risk assessments as part of the hand over process
• Operative risk management and risk assessment
• Ensuring that risk mitigation activities are executed and followed
• Quality Assurance reviews on selected processes
• Financial monitoring of projects