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# Senior Research Software Development Engineer, MSR AI for Science

- **Company:** Microsoft Deutschland GmbH
- **Location:** Boblingen, Germany
- **Experience:** Expert
- **Salary:** €90,100.0 - €152,500.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Software Quality, Linux, Distributed Computing Environment, Distributed Systems, Machine Learning, Open Source Technology, Tensorflow, Software Engineering, Graphics Processing Unit (GPU), Pytorch, Information Technology
- **Published:** July 16, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=3510958f45391afa

## About the Role

We are seeking a highly motivated and experienced Senior RSDE with expertise in software engineering and distributed systems. The ideal candidate will have a deep understanding of distributed computing and be proficient in the design, planning, and implementation of tools and technology to support AI-driven scientific research.

To Apply: If you are excited about making a meaningful impact in AI-driven scientific research and possess the skills and experience outlined above, we encourage you to submit your resume. We look forward to reviewing your application!, Required:

 * Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field.
 * Strong familiarity with Linux and the open-source ecosystem.
 * Proficient working with large datasets in a cloud or HPC environment.
 * Proficient in building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs.
 * Strong analytical, problem-solving, and communication skills.
 * Passionate about pushing the boundaries of science. Prior experience developing high-performance scientific software is not required, but preferred.
 * Experience with open source machine learning frameworks (e.g., PyTorch, ggml, llama.cpp, vllm) is a plus.
 * Experience with Materials Science (in particular Density Functional theory) is a plus.

## Description

* Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data.
 * Build and optimize distributed data processing and model building pipelines.
 * Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions.
 * Collaborate with cross-functional teams, including scientists, researchers, and software engineers.
 * Document and share best practices across the organization.
 * Maintain the highest standards in code quality and software design.


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