Research Software/DevOps Engineer (m/f/div), 80 – 100%
Research Software/DevOps Engineer (m/f/div), 80 – 100%
Research Software/DevOps Engineer (m/f/div), 80 – 100%
Research Software/DevOps Engineer (m/f/div), 80 – 100%
Max Planck Institute for Intelligent Systems
Forschung
Tübingen
- Art der Anstellung: Vollzeit
- Hybrid
- Aktiv auf der Suche

Research Software/DevOps Engineer (m/f/div), 80 – 100%
Über diesen Job
Job Description
Embedded in Tübingen's rapidly growing science and technology campus, the
Max Planck Institute for Intelligent Systems
is an internationally leading research institute doing cutting-edge research in artificial intelligence (AI) and related fields of machine learning, computer vision, robotics, haptics, and more. The institute has close ties to ELLIS, a Europewide research network in machine learning, the Cyber Valley initiative that connects researchers with startups and industry in the area, as well as the Tübingen AI Center, home to numerous leading AI researchers. We are seeking a
Research Software/DevOps Engineer (m/f/div), 80 – 100%
with a diverse skillset to support researchers and engineers in turning research into high-impact software.
Description
Part of the institute, the
Software Workshop
is a unique central scientific facility at the intersection between software engineering and research. It conducts research in the area of computer science and supports the departments and research groups of the institute in software development. Its main goal is to increase the quality and impact of the research at the institute, both internally and worldwide.
Roles & Responsibilities
In the context mentioned above, we are seeking a Research Engineer to strengthen our team.
You will work closely with the scientists and engineers of the institute. You will directly contribute to projects in various areas (eg, machine learning, computer vision, robotics, haptics), helping researchers to translate research prototypes into supportable software. You will also maintain and develop part of our software infrastructure.
Max Planck Institute for Intelligent Systems
is an internationally leading research institute doing cutting-edge research in artificial intelligence (AI) and related fields of machine learning, computer vision, robotics, haptics, and more. The institute has close ties to ELLIS, a Europewide research network in machine learning, the Cyber Valley initiative that connects researchers with startups and industry in the area, as well as the Tübingen AI Center, home to numerous leading AI researchers. We are seeking a
Research Software/DevOps Engineer (m/f/div), 80 – 100%
with a diverse skillset to support researchers and engineers in turning research into high-impact software.
Description
Part of the institute, the
Software Workshop
is a unique central scientific facility at the intersection between software engineering and research. It conducts research in the area of computer science and supports the departments and research groups of the institute in software development. Its main goal is to increase the quality and impact of the research at the institute, both internally and worldwide.
Roles & Responsibilities
In the context mentioned above, we are seeking a Research Engineer to strengthen our team.
You will work closely with the scientists and engineers of the institute. You will directly contribute to projects in various areas (eg, machine learning, computer vision, robotics, haptics), helping researchers to translate research prototypes into supportable software. You will also maintain and develop part of our software infrastructure.
Responsibilities may include:
Applicants should have:
The position will be located in the Tübingen site of our institute as part of the Software Workshop team, with possibility for some remote work.
Salaries and contracts will be based on previous experience according to the Public Service Wage Agreement (TVöD) guidelines. This is a full-time position. The position is initially limited to two years with the possibility of a transition into a permanent position.
- Implementation of software solutions for research purposes
- Translation of research code into robust software (eg, optimization, refactoring)
- Contribution to research projects to allow deployment (containerization, virtualization)
- Management and diversification of our in-house software infrastructure (eg, CI/CD)
- Dissemination of good software practices (reviews, tutorials, workshops)
- Maintenance of software libraries and infrastructure
Applicants should have:
- To M.Sc. or PhD in computer science, electrical engineering, or related discipline
- Several years of experience in software or DevOps engineering
- Team-player attitude
- Excellent communication skills in written and spoken English
- Expertise in C++ and/or Rust and Python
- Experience in code optimization and impementing scientific libraries
- Experience in Agile software development
- Experience with DevOps-related frameworks (Docker, Ansible, Gitlab CI/CD...)
The position will be located in the Tübingen site of our institute as part of the Software Workshop team, with possibility for some remote work.
Salaries and contracts will be based on previous experience according to the Public Service Wage Agreement (TVöD) guidelines. This is a full-time position. The position is initially limited to two years with the possibility of a transition into a permanent position.
Application:
To apply, please include in your application a cover letter, your resume, links to code that you have written (eg, GitHub/GitLab accounts), three references (letters or contact details), and upload it as one PDF file to our
application portal
. If you prefer to send a hard copy application, you can do so. Please address it to:
Max-Planck-Institute for Intelligent Systems - Personnel & Law - Max-Planck-Ring 4 - 72076 Tübingen
The position will be open until filled. Preference will be given to the applications received by November 30, 2025.
For more information or questions about scientific and technical aspects of the position, please contact Jean-Claude Passy at
jean-claude.passy@tuebingen.mpg.de
. For other questions, please contact Oliver Gäntzle at oliver.gaentzle@vw.is.mpg.de
. Diversity, equity, and inclusion are core values on our campus and in our recruiting efforts. The institute strongly encourages applications from groups underrepresented in science, technology, engineering, and mathematics.
The Max Planck Society is committed to employing more handicapped individuals and especially encourages them to apply. Furthermore, the Max Planck Society seeks to increase the number of women in areas where they are underrepresented and therefore explicitly encourages women to apply.
Closing date for applications:
December 19, 2025
To apply, please include in your application a cover letter, your resume, links to code that you have written (eg, GitHub/GitLab accounts), three references (letters or contact details), and upload it as one PDF file to our
application portal
. If you prefer to send a hard copy application, you can do so. Please address it to:
Max-Planck-Institute for Intelligent Systems - Personnel & Law - Max-Planck-Ring 4 - 72076 Tübingen
The position will be open until filled. Preference will be given to the applications received by November 30, 2025.
For more information or questions about scientific and technical aspects of the position, please contact Jean-Claude Passy at
jean-claude.passy@tuebingen.mpg.de
. For other questions, please contact Oliver Gäntzle at oliver.gaentzle@vw.is.mpg.de
. Diversity, equity, and inclusion are core values on our campus and in our recruiting efforts. The institute strongly encourages applications from groups underrepresented in science, technology, engineering, and mathematics.
The Max Planck Society is committed to employing more handicapped individuals and especially encourages them to apply. Furthermore, the Max Planck Society seeks to increase the number of women in areas where they are underrepresented and therefore explicitly encourages women to apply.
Closing date for applications:
December 19, 2025
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Max Planck Institute for Intelligent Systems
Forschung