Your career opportunities
We as a company can only grow if we also enable our employees to grow. Knowledge and talent know no limits. That's why we don't want to set any for you. We encourage you and want you to develop further!
A mix of internal and external training, continuous feedback, transparent career paths and our talent development are your prospects with us.
Colleagues take different paths. Depending on the area of responsibility and direction of development, these take a variety of forms.
Examples of career paths
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From internship to team leader production -
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From training to team management hosting -
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From study to divisional management -
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From student to product owner - You will gradually gain the necessary experience through various project assignments and put your skills to work for our customers or us directly. -
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From software developer to solution architect
What our employees say about their training
Félix, Deep Learning, Medical Technology Division
Part of our task at our customer is the integration of supplied algorithms for medical image processing, but also the creation of new algorithms to support radiologists, cardiologists, oncologists, etc. in making decisions. In recent years, neural networks have increasingly replaced classic machine learning algorithms, so Deep Learning is nowadays an indispensable part of medical technology. ...
Employee statementIn order to be up to date with these novel architectures, and because our customer requested more know-how in this area, we organized an adapted four-day Deep Learning training course via an external training provider. Due to the still high Covid new infection numbers, the training took place as an online training, but this did not negatively affect the quality of the training in any way. The training provider gave us (14 participants) each access to a web interface through which we could conveniently work through the practical programming tasks; the data used for this was predefined. The training was very interactive with numerous programming tasks and Q&A rounds and we were all able to take away a lot from it. The following topics were trained:
- Basics of Deep Learning
- Using Tensorflow and Keras (with Python and Jupyter Notebook)
- Data preparation
- Training a network and applying it to new data
- Convolutional Neural Networks (CNNs)
- Keras Callbacks
- Classification of images
- Detection of objects by bounding boxes
- Semantic segmentation (pixel-wise classification)
- Data Augmentation
- Recurrent Neural Networks (RNNs) / Long Short-Term Memory networks (LSTMs)
- Generative Adversarial Networks (GANs)
Leona, IT School, Recruiting Department
At the beginning of my work at the IRC/ISO-Gruppe, I attended the IT School to gain basic knowledge in the field of IT. The training is intended for newcomers who have had little or no previous contact with IT topics. For this purpose, we met regularly in small groups (in presence or virtually), while the team leader introduced us to the topics. Through presentations, conversations and discussions, knowledge was imparted to us and questions were clarified. ...
Employee statementThe training was structured in a sensible and comprehensible manner based on the software development process, with individual process substeps being examined in greater detail. Additional content included basic IT terms, various technologies and their interrelationships, as well as agile and classic working methods.
I was already able to apply what I had learned to my work after day 1, as this knowledge is necessary for understanding IT positions and focal points. Thus, I had a direct sense of accomplishment from the training as I was able to assign and understand technical terms and meanings. With each additional training unit, my knowledge became more solid and the correlations became clearer. As a result, I achieved a basic knowledge of the relevant IT focal points by the time I completed the training, and this knowledge continues to expand within my professional tasks and time.
What I particularly liked about the IT School was the sensible and comprehensible structure, the target group-oriented description of the content and the repetition of the respective topics from the last lesson. This approach made it much easier for me personally to understand and internalize the knowledge and, in my view, made this further training a must and a considerable benefit for every newcomer. Besides working at IRC, what I learned can be helpful for the future in any case, as an understanding of IT topics is a real benefit in any field nowadays.
Linda, UX course, medical technology
The training at Nielsen Norman Group was a remote event delivered by a speaker who is extremely experienced in the UX lead/management field. She has been in the field for decades and has built UX teams in large companies in the US, sort of leading the way. The event was delivered via Zoom, where the expert delivered content via a lecture using presentation slides, but kept participants engaged through calls, polls and separate exercises....
Employee statementIn the so-called "break-out rooms," the participants worked out and discussed certain tasks in small groups. For this purpose, it was very helpful that, in addition to the expert, there was also a person present who only dealt with the technical implementation and could provide "organizational" assistance. After the advanced training, one can participate in an exam to receive a UX certificate from the NNg.
Type of continuing education: Professional development for UX team leaders/managers.
I can definitely apply what I learned in practice, since much of the content discussed directly applies to my job as a team leader.
I especially liked the great expert who had a lot of practical tips at her fingertips and that she was able to offer a good solution to any tricky questions the participants had. This was a competent, truly intelligent and inspiring expert!
The only pity is always the current "remote" mode that prevails in all trainings since Corona.
Dragan, YOCTO PROJECT SUMMIT 2021, Automation Technology Division
YOCTO PROJECT is an open-source collaboration project which supports developers to create Linux-based systems for embedded products. Their hosted conference is a mixed type of a basic introduction, trainings, and presentation of its challenges for beginners. There is also hands-on training for advanced users with test laboratories and live coding presentations. Many people from the YOCTO community introduced several projects that were solved with the help of YOCTO...
Employee statementOn the first day, there were two parallel lectures in two different classrooms. In one classroom the major topic was an introduction to YOCTO and its capabilities. The lecturer went step by step to explain the configuration files and changes. Part of the lecture was to make a building up of a custom-based Linux image. In the other classroom a whole day live coding event and troubleshooting in different laboratories and lectures took place.
The second and third day were reserved for the YOCTO community professionals for showing us their success stories of what they had achieved in the past year or six months.
During the conference, the coding was mainly done with common Linux-based development tools and libraries, bash, python, text editors, and many other tools. Then we had poky and bitbake as development tools from YOCTO itself. In addition, kas was used as an independent tool that helps to indirectly interfere with the configuration changes to the poky files from YOCTO PROJECT.
The content of the event and the lectures were knowledgeable and approachable. At the end of the lectures, we had two hours of virtual hangout in which we were talking about every subject. Overall, I was able to fill many knowledge gaps that I had. This made it possible to work on a project whose final product is based on YOCTO.
Wolfgang, Logfile-Analysis with OpenSource Tools, Domain Public Administration
In an online workshop, we were presented with an overview of common software solutions for log file analysis. This is especially interesting for IT administrators who work in heterogeneous environments with versatile log formats. Participants were taught about the possibilities and limitations of the various tools in the event...
Employee statementThe analysis of log files is performed using the ElasticSearch search engine (also known as ELK Stack). The main topic of the online event was the installation and configuration of ElasticSearch and the log providers Logstash, Fluentd and Graylog. Included were the respective application areas as well as their advantages and disadvantages. In addition, the installation and visual representation with Kibana was also part of the course. The workshop included various application scenarios, which were solved with the help of the discussed tools. We were already able to use the knowledge and recommendations conveyed in one of our projects.
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