Senior electrical engineer állások Külföldön (it programozás, fejlesztés)

Stakeholder Collaboration, Business Understanding & KPI Generation: Partner with business stakeholders to understand their needs, implement business logic and co-create impactful KPIs...

Lead and plan Design Thinking / Strategic projects within cross-functional teams - quickly moving from early, explorative phases and initial hypotheses to prototypes, MVP definition and agile implementation of customer centric products & services...

You will take responsibility for specific areas in the design and continuous development of our AI and data platforms - from concept to productive operation....

• Work with all engineers to understand the challenges they face and how to improve their experience
• Leverage your own knowledge and experience to help develop the best development platform for our engineering teams to work on

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

• You'll play a key role in shaping the next generation of our hybrid applications.
• Together with a passionate and cross-functional team, you'll design scalable, shared-library architectures that connect web and mobile platforms seamlessly.

You will be a focal point for our customers, on how to best align their transformational business & IT initiatives with our SAP portfolio, partner solutions and the latest product developments, for achieving the best outcomes and value for their day-to-day operations....

• defining software architecture for the next generations of lithography systems, driving the progress in the semiconductor industry
• finding the best solutions for embedded control systems, considering modularity and sustainability, hardware limitations and performance specifications

• Develop and optimize end-to-end pricing strategies, including algorithm development, implementation, and continuous performance monitoring
• Design and execute complex pricing experiments and A/B tests, analyzing results and providing strategic recommendations to leadership

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts...

• Design, develop, and implement platform solutions that enhance the reliability, security, and scalability of the AI Platform infrastructure.
• Provide technical leadership in cloud infrastructure, networking, CI/CD, and security for AI and MLOps workloads.

You will gain insights into cutting-edge IT environments and into our global methodology. Your focus: analysis, evaluation and optimization of processes, structures and systems...

• 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.

• New development and extension of our applications in the area of control systems and business intelligence applications in intralogistics
• Development of concepts and architecture-compliant solution proposals
• Taking responsibility for new features and applications in WCS and MHE software services

Taking responsibility for global projects, advising our foreign subsidiaries on regulatory requirements, and actively helping to shape the further development of our IT governance structures...

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

• System Design: Develop software systems for large-scale robotic data collection, ensuring reliability and scalability.
• Engineering Principles: Apply structured practices to build maintainable, modular, and testable codebases.

You build, validate, and analyse finite element models (FEA/FEM) for structural, crash, noise, vibration, roughness, and aerodynamic simulations....

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.