TRUMPF

Mechanical engineer and software company

The high-tech company TRUMPF offers manufacturing solutions in the fields of machine tools, laser technology and electronics. We advance the digital network of the manufacturing industry through consulting, platform and software offers. As an independent family business, we think and act long-term. Our will to design makes us a guarantor for continuous innovation.

We are the global technical and organizational leaders in each of our fields of activity as well as in all products and services. We strive for continuous growth that is well above the average of the industries in which we operate. We also achieve a return on sales that enables us to cover our high expenditures for research and development as well as investments from own resources.

We believe that good things can always be made even better. Not only when it comes to our products, but also with regard to corporate culture, employee development and social commitment. For an environment in which, besides innovations, one thing above all can grow: Enthusiasm.

 

Facts

  • Founded in 1923 as a mechanical workshop
  • Around 18,000 employees worldwide
  • Worldwide leading company for machine tools & lasers for industrial applications
  • Over 86 operating subsidiaries in Europe, the Americas and Asia-Pacific
  • Headquarters in Ditzingen near Stuttgart
  • Revenue of 4,3 billion Euro in fiscal year 2024/25
  • Very high R&D ratio of 12 % (based on sales)
  • Close cooperation with research institutes

 

Why is TRUMPF a Software Campus partner?

TRUMPF has been a technology and market leader in machine tools for flexible sheet metal processing and industrial lasers for years. Whereas in the past, individual machines or applications were differentiated using technology, in the future, digital networking of manufacturing processes will gain importance as a differentiating feature on the market. TRUMPF is therefore developing highly complex software products and investing massively in this crucial future topic.

In short: we are already living the digital transformation very intensively, but there is still a lot to do. And we want to greatly expand the product portfolio of industry 4.0 solutions for our customers. To achieve this, we need dynamic and broad-minded specialists and managers with a software background who are enthusiastic about TRUMPF and our tasks and who will continue to grow with us. Also, it is very important to us to further develop and expand the already existing relationship between science and practice.

 

Which candidates are we looking for and what do we offer?

As a future TRUMPF employee, you have a sense for quality, curiosity and high motivation. You are also helpful, have team spirit and are happy to take on responsibility. In addition, we are looking forward to applicants with international experience and an agile mindset.

We offer interesting job opportunities in all areas of software development, a lot of personal responsibility, a wide range of tasks at every career level with opportunities to work in Germany and abroad, and a working environment characterized by appreciation, kindness and trust.

In addition, you will find the structures of a corporate group, but the freedom of a family-owned company and especially in software development, flat hierarchies, fast decision-making processes, assumption of responsibility and team spirit.

Last but not least, we offer you outstanding social benefits, innovative working time models, performance-oriented pay and individual training.

© TRUMPF Gruppe

 

Research Fields

Machine Vision / Deep Learning ​

Large Language Models (LLMs)​

Explainable AI ​

Daten Pipelines ​

MLOps ​

Security Frameworks​

Industrie 4.0 Konnektivität & ​Datenmodellierung​

​KI-Anwendungen für die Robotik

5G/6G​

"Digital Twin" Daten-/Informationsmodelle​

Quantum Computing ​

Digitale Geschäftsmodelle​

So far, the following projects have been realised in cooperation with TRUMPF

QUAIL: Qualifiable AI Lifecycle-Management for Production Systems

Qualifiable AI Lifecycle-Management for Production Systems (Lukas Rauh)

DAQ: Data-driven optimization of a laser ion source

Data-driven optimization of a laser ion source (Sonja Gerlach)

VALID-PARTITION: Investigations into improving predictive quality by using domain knowledge in partitioning training data

Investigations into improving predictive quality by using domain knowledge in partitioning training data (Dennis Tschechlov)

DAITA – Dependable AI Test dAta: Framework for the analysis and enrichment of test data for AI-based components

Dependable AI Test dAta: Framework for the analysis and enrichment of test data for AI-based components (Lisa Jöckel)

NUCLIDE – Efficient query concepts for blockchain data histories

Efficient query concepts for blockchain data histories (Dennis Przytarski)

POMAS – Pose Estimation and Mapping Using Heterogeneous Sensor Networks

Pose Estimation and Mapping Using Heterogeneous Sensor Networks (Kailai Li)

REGROW – Resilient routing in low-power mesh networks

Resilient routing in low-power mesh networks (David Nophut)

ARRANGE – Classification, pose determination and tracking of industrial objects to support sorting work

Classification, pose determination and tracking of industrial objects to support sorting work (Fabian Rücker)

APED-F – Analysis of position data to determine throughput times in production

Analysis of position data to determine throughput times in production (Sebastian Volpert)

DeLePred – Deep learning in the context of predictive maintenance

Deep learning in the context of predictive maintenance (Sandra Zilker)

Career Contact

Dr.-Ing. Christian Weber, Data Engineer, Team Data Pipelines

christian.weber@trumpf.com

Trumpf career website

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