Software Engineer Additive Manufacturing & Data Analytics

The world's leading manufacturer of vacuum technology systems for metallurgy and heat treatment (about 1,000 employees in 9 countries) is looking, as soon as possible, for a permanent full-time (40 h/week) Software Engineer Additive Manufacturing & Data Analytics at its headquarters in Hanau.

• Rapid prototyping & feature development: You program the operating software of our additive manufacturing systems (Powder Bed Fusion), develop new features and make quick modifications to test new approaches directly on the machine.
• Interface expertise: You act as the link between our software programming and the process and hardware experts. Together with the software team you move the prototypes into series production.
• Data analytics & pattern recognition: You analyze complex data sets to map system relationships over longer periods and across many processes and to recognize patterns.
• Conceptual groundwork: You document and structure your prototypes and algorithms so transparently (e.g. through architecture sketches and clean code) that our software team can efficiently transfer the logic into the production software.

• Education/studies: Successfully completed degree in Technical Computer Science, Electrical Engineering, Mechatronics, Mechanical Engineering, Physics or a comparable qualification with a strong software focus.
• Software skills: Solid, practice-tested knowledge of Python, ideally in the context of data processing, control or test automation.
• Hardware affinity & flexibility: You are comfortable with hardware-near systems. Ideally you have a basic understanding of CNC (G-code) or are willing to learn the machine-specific control languages.
• Additive manufacturing: Ideally you have solid practical experience with metal powder bed fusion processes, preferably Electron Beam Powder Bed Fusion (E-PBF) or Laser Powder Bed Fusion (L-PBF).
• Data affinity: Experience with mathematical-statistical tools (e.g. Pandas, NumPy, SciPy) for data analysis and visualization.
• Mindset: A hands-on mentality, strong communication skills for interface work and a structured yet agile way of working.