Phd developer állások, munkák

• Backend szolgáltatások fejlesztésében való részvétel az IBM Cloud Kubernetes Service csapatában
• Üzleti logika fejlesztése és karbantartása RESTful API-kon keresztül
• Backend orchestration és lifecycle management folyamatok támogatása
• Kubernetes alapú platform-szolgáltatások fejlesztésének támogatása

Guiding customers in their adoption of NVIDIA's compute, networking, and software stacks to deliver end-to-end GenAI and Agentic AI solutions Delivering demos, assisting with proof-of-concepts, writing papers and developer blogs Collaborating with executives and engineering to solve complex...

Work alongside experienced engineers as part of a development team Support existing projects Explore and prototype ideas for the future Investigate the feasibility of ideas Extend specific features Perform comparative analysis of multiple potential solutions Analyze root causes of reported...

Developing scalable library software using modern tools and languages for various numerical method. Performance tuning, optimization, and benchmarking of algorithms on various architectures. Working closely with leadership team and other internal and external partners to understand feature and...

Senior Embedded Software Engineer (80-100%)...

Work alongside experienced engineers as part of a development team Support existing projects Explore and prototype ideas for the future Work across all aspects of the software life cycle Upstream code into an Open Source project...

Lead architecture design Drive technology decisions Co-create innovative products Mentor clients to adopt Agile practices and engineering excellence Lead project workstreams Build scalable solutions using Agile methodologies Co-create products with client teams Foster a culture of engineering...

Doctoral researcher: Human-Centric and Explainable Robot Learning for Mobile Manipulation 100 % PhD position developing vision-language-action models and reinforcement learning for assistive mobility and humanoids in healthcare, with Swiss industry and academic partners Doctoral researcher:...

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship or working student position

• 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 methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks

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...

• Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploringthe benef world models for solving business problems.
• Execute scientific experiments on internal as well as public data.

• 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.

• The possibility to learn and implement cutting edge technology
• Interpersonal and interdisciplinary mentorship by experienced PhD-level experts
• A modern working environment enabling hybrid work and remote workdays
• An opportunity to join a growing company with many career options

In 18-24 months, you will go through various stations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...

• You implement numerical simulation methods and their applications for large scale power systems.
• You develop high performance algorithms for dynamic simulation taking also advantage of hardware-based acceleration techniques such as FPGA or GPU.

As a research engineer, you will be at the forefront of pioneering system design, with the responsibility to architect, develop, and deploy sophisticated AI systems that seamlessly integrate reinforcement learning with agentic AI systems and multi-modal foundation models....

• Development of scientific software for research projects in close consultation with researchers
• Advising researchers on the development and use of research software in terms of software quality and computational efficiency
• Conception and development of software documentation and user tutorials