Software engineer, computer scientist or similar (f/m/x)

7328


The Institute for AI Safety and Security provides research and development services in the field of AI-related methods, processes, algorithms and execution environments. The focus is on ensuring safety and security for AI-based solutions in ambitious application classes. “Safety and security by design” is a central aspect in this context, since it directly supports future requirements of safety-critical applications that are based on AI or integrate AI-based components.

In the Execution Environments and Innovative Methods department, we look at AI from the perspective of challenging platforms on which AI is trained and used, such as embedded solutions or quantum computers. We also conduct research into novel approaches for AI architectures.

As part of research on AI execution environments, you will evaluate AI approaches from a future application perspective and embed them in established AI pipelines and processes. You will optimise the fundamental prototypes from our department in terms of their applicability and efficiency.

You will work on the implementation of software from a variety of cross-sectional applications in all of DLR's focal areas - in aeronautics, space, energy and transport. Your research questions deal with all topics of our department such as the parallelisation of quantum AI methods and innovative AI systems on powerful simulators. You will also support the development of AI on challenging execution environments with your HPC skills. For this purpose, we have access to powerful HPC systems, a selection of different mobile platforms and DLR's own quantum computers during the course of the project.

An important part of your work will be to support our interdisciplinary and international team in their software development projects and to collaborate with our external partners from academia and industry.

With your work, you will make an indispensable contribution to increasing the performance of novel AI methods and preparing them for their potential applications. This enables the responsible introduction of these AI-based solutions into ambitious application classes.

The opportunity to work on a PhD thesis can be offered, when the suitable qualification is given. Prerequisite for employment at DLR is security clearance in accordance with the German Security Clearance Act (SÜG) and the willingness to undergo a security clearance in accordance with §8 ff SÜG.

Your qualifications:

  • degree in software engineering, computer science or other relevant degree programmes
  • extensive experience in software development and code optimisation (Git, CI/CD, ...)
  • knowledge of machine learning
  • experience with implementation of AI software solutions
  • knowledge of Python and/or C/C++
  • experience with Linux/Unix
  • experience with HPC systems (ideally Slurm)
  • experience with parallelisation of machine learning (ideally with MPI)
  • experience in the preparation of complex scientific contexts or software
  • proficiency in written and spoken English
  • ideally experience with GPU acceleration
  • ideally experience in setting up and operating IT services
  • ideally experience with quantum computing
  • ideally experience with the design software architecture for AI experiments

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.





DLR - Helmholtz / Deutsches Zentrum für Luft- und Raumfahrt



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Deadline: 2024-05-12
Location: Germany, Ulm
Categories: AI, Computer Engineering, Computer Sciences, Machine Learning, research software, software development, Software Engineering,

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