Permanent Position as Deep Learning / Machine Learning Engineer (m/f/d) – Full-Time Position in Itzehoe

MEMS mirror with glass dome for laser scanning

About OQmented

OQmented is a young startup in the field of microchip development for microelectromechanical systems (MEMS). We enable the world’s largest consumer and automotive companies to achieve breakthroughs for augmented reality displays, 3D camera systems and autonomous driving through innovative products. For this purpose, we develop and produce compact deflection systems for laser beams, which can be used, for example, for laser projection systems in AR glasses or for 3D cameras.

About your Role

  • You will play a vital role in a small international team, working on a novel and exciting MEMS-based 3D-sensing device
  • Your ideas will have a direct impact on the working principles of prototypes and products
  • You will train, benchmark and deploy neural network architectures
  • You will improve the speed of deep learning-based systems with strict requirements on computing power
  • You will solve complex problems in computer vision

Your Qualifications

  • Background in a quantitative field (preferably M.Sc.)
  • Proven track record of excellent programming skills
  • Experience with TensorFlow and OpenCV
  • Excellent programming skills in Python
  • Experience with cloud computing platforms (AWS or similar) and deployment of machine learning models
  • Familiarity with best practices of software engineering in general
  • Good understanding of GPU-based computing
  • Experience with JavaScript and C++ would be a plus
  • Experience with ONNX / TensorRT beneficial
  • Proficiency in English (C1), German language skills would be a plus
  • Creative problem-solving skills and analytical way of working 
  • Ability to work in a team and independently

We offer

  • A young and dynamic company with flat hierarchies
  • Exciting tasks and a lot of creative leeway at a competitive salary
  • An enjoyable work atmosphere in a highly motivated and experienced team
  • Flexible working hours and the possibility to work remotely


Write us an email with a short application including your CV to

Contact person: Peter Blicharski