Software developer állások Külföldön (programozó, fejlesztő)

Your role will be at the forefront of tackling complex challenges in the field of ophthalmology...

• Ensuring the sustainability of community ESM codes, and enabling the adop­tion of modern HPC systems
• Enabling and improving high-performance computing capabilities of ESM codes, including performance optimization

• Map the agentic payments landscape: who are the players, what protocols exist (x402, MCP, Skyfire, etc.), where are the gaps
• Identify and evaluate potential data provider partners (weather, finance, geo, pricing APIs) for our pilot program

Design and implement scalable, secure, and maintainable fullstack solutions for AI-enabled applications and platforms, including components that leverage LLMs to enable advanced user interactions and automation...

Where you belong: Where you belong: ...

• Develop and maintain ETL/ELT pipelines for both structured and unstructured data
• Ensure the integrity, availability, and performance of data across ingestion and storage layers
• Collaborate with analysts and architects to translate business requirements into scalable data models

Design, implementation, and maintenance of workflows for data processing, instrument control, as well as data transfer and storage for continuous atmospheric monitoring devices....

• Keep data moving: Build, run, and refine data pipelines and workflows (Python, Airflow/Cloud Composer) so they're reliable, fast, and easy to change
• Shape our data models: Use BigQueryand Cloud Spanner to design wellstructured, highperformance datasets for analytics and machinelearning use cases

- Help to adapt CI/CD pipelines to align with global testing Strategy - Support the identification of potential improvements to speed up hardware testing - Collaborate in prototyping and migration from 5G testing framework (C# based) to a new 6G ready testing framework (python based) ...

• Collaborate on quality inspection algorithms in challenging applications for factory environments
• Investigate potential of foundation models for industrial quality inspection
• Investigate XAI algorithms for Vision Language models

Directly impact your team's tech scope: work hand in hand with PM and EM to manage product technical roadmaps and dependencies to minimise technical debt....

Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation....

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Define the data, training, and experimentation environment to enable scalable access to data and compute.

As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents....

Solution Development: Design and develop customised solutions within Salesforce to meet project objectives and business goals, ensuring robust functionality and seamless user experiences....

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

• Design, develop, and maintain applications based on the Angular framework
• Define and implement frontend solution strategies across multiple applications and user groups
• Collaborate with UX designers to plan UI designs, develop interaction concepts, and ensure usability and performance

• You join a stable team of experienced developers to maintain and extend our market leading application for aeronautical message handling.
• You contribute to all phases of the software life cycle - requirements engineering, design, implementation, verification, and maintenance.

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• Develop and optimize data pipelines and algorithms within the Snowflake environment.
• Manage code repositories, automate deployment processes, and collaborate with team members using Azure DevOps for continuous integration and machine learning model improvement.