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• Lead and coordinate international innovation projects across AI & Engineering
• Build trust-based partnerships with clients and researchers
• Translate complexity into clarity – and ideas into business value
• Mentor teams and foster a culture of excellence

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

• Research and development of state-of-the-art numerical solvers for real-time simulation of power systems and power electronics
• Development of real-time simulation solvers for HIL / HPC platforms based on hybrid systems FPGA – CPU

• Build and develop long-term strategic relationships with leading industrial customers
• Identify innovation opportunities and translate emerging technologies into customer value
• Shape collaborations between industry partners, universities, and research institutions

• Develop both classical algorithms and modern machine learning techniques
• Implement algorithms efficiently on embedded hardware
• Optimize parameters for complex, hybrid image pipelines
• Develop innovative solutions for hardware-constrained challenges

• Lead and manage international research programs across AI, Data Science, Simulation, Processes, and Quantum Computing.
• Build and run multi-partner research consortia with world-leading universities, tech networks, and public funding agencies.

• Ownership and evolution of Cypress and TypeScript end-to-end automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage

• 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.

• 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

• Application development leadership
• Application implementation oversight
• Application monitoring and issue resolution
• Application maintenance management
• Application support provision
• Data validation against official sources
• Request management for data modifications

• Web alapú vállalatirányítási rendszer fejlesztése Perl nyelven
• Fejlesztés PostgreSQL adatbázis használatával
• Fejlesztés Linux szerveren
• Fejlesztés bármilyen platformon

• Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Gain new insights by bringing together rich semantic context with large scale business data.

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace for Tulip hardware
• Identification of key features and product performance
• Contribution to strategic planning
• Maintenance of the Tulip Operating System including building, packaging, and support

Reimagine AI-based engineering: You collaborate closely with domain experts from international corporate research departments and business units to develop novel agent-based approaches towards engineering, addressing Bosch's extensive product and service portfolio....

• Development of the holding’s financial strategy
• Prioritization of investments across studios and products
• Development of criteria for portfolio decision-making
• Support to shareholders in exit/divestment strategies
• Monitoring execution of financial decisions and conducting reviews

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....