Engineering állások Külföldön (it programozás, fejlesztés)

• Design and develop internal tools for R&D users
• Build user-friendly interfaces (web and desktop) for searching, entering, reviewing, visualizing, and managing complex technical data

This will be your future job • Development of tests for safety and mission critical software in the field of helicopter avionics • Analysis and debugging of software in context of test operations • Implementation of automated scenarios • Carrying out formal software acceptance tests including...

This will be your future job • Capture of customer requirements and formalisation in system requirements • Refinement of equipment requirements • Preparation and participation in workshops with stakeholders • Coordination with and support of software development • Planning and execution of...

• Software development and programming for control systems in the power generation sector
• Commissioning and testing of software in applications and systems
• Maintenance and upkeep of application software
• Assisting the sales support team

• Evaluation of different technologies in the field of cellular, NB-IoT and sub giga based communication standards
• Support the selecting process for MEMS and IMU's with focus on ultra-low power use cases

• Own, structure, and continuously refine the product backlog with clear priorities aligned to product strategy
• Define user stories, acceptance criteria, and product requirements based on clinical workflows and user needs

• Drive and implement SEO strategies and ongoing optimization for selected parts of our website
• Develop product plans and roadmaps in close collaboration with Senior Management and in alignment with our business goals and execute them with your team

• You have penetrated our cloud stack (GCP/Azure, Kubernetes, Docker, CI/CD) to such an extent that you take on tasks in your area independently.
• You have brought the first improvements to pipelines, infrastructure or developer experience live.

• Make optimization runs fast enough that customers iterate in minutes, not hours — across problems an order of magnitude larger than today
• Build the data backbone: ingest SAP/ERP exports, Excel reality, and operator knowledge into a clean, versioned, traceable model layer

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

• 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

assess the applicability of our system dynamics simulation toolbox to mechanical systems which are not yet in scope of the current toolbox development...

ARE YOU PREPARED FOR THE FUTURE? AI, AI SIR! Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and...

• Lead product discovery and delivery for materials and inventory management solutions for our global supply chain clients.
• Drive integration with major ERP systems (e.g., SAP MM/IM) to ensure consistent, high‑quality data exchange.

• Designing and implementing end-to-end data flows from device data ingestion through transformation, storage and consumption
• Defining data models, structures and lifecycle concepts to ensure data quality, consistency and lineage

• Development of APIs for electrolysis systems and analysis devices
• Implementation of autonomous process control
• Conceptualization and implementation of degradation models for electrolysis
• Studying performance and degradation of electrolysis in dependence on different operating modes

Architect the ML Platform: Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production....

• Enable teams to own quality end-to-end
• Build a scalable QA platform and operating model
• Drive automation, AI adoption, and engineering best practices
• Define and implement a scalable QA operating model across multiple teams
• Establish clear QA standards, processes, and governance

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts

• Understand the business - Assess and support the business objectives for digital products and services from a Cloud Applications point of view
• Define the architecture - Create structures of distributed systems in close collaboration with other experts