Simulation Engineer (m/f/d)

Our many years of recruitment experience and our expert knowledge of the engineering job market make us a strong partner for engineers and technicians. We maintain close relationships with customers across all industries and therefore can provide engineering specialists with exciting projects and attractive job opportunities, drawing on your personal interests and experience. As your professional companion, we support you throughout the entire process, from the first contact to the first day on your new job – all this completely free of charge. Register now and look forward to many interesting and suitable positions and projects.

• Develop, support and execute advanced simulations and software tool development for synthetic data generation for automotive interior sensing machine learning algorithms
  
• Modelling, texturing, rigging and animation of 3D assets, and building diverse scenes in Blender
  
• Deployment of simulation render jobs on-premise and in cloud
  
• Work closely with machine learning engineers to understand data requirements
  
• Writing high quality, tested and efficient software in Python for our AI/ML Simulation Stack

• Bachelor's or master's degree in computer science or related field with specialization on Computer Simulation, Computer Graphics or Computer Vision
  
• Proven experience with Blender 3D, Modelling, Shading, Animating, Scripting
  
• Practical experience with 3D simulation software, video game development or another related field
  
• Strong software development skills in Python. You have a passion for clean, well-tested, and documented code
  
• Proven experience with the Python libraries NumPy, for n-dimensional arrays, SciPy and OpenCV, or comparable library
  
• Practical experience with Linux, version control systems e.g. Git, DVC
  
• Solid knowledge in classical computer vision and camera calibration
  
• Fluent in English. Excellent written and verbal communication skills and interpersonal skills

• Fast and transparent application process
  
• Interviews directly with the department you will be working with
  
• Individual all-round support during your assignment with our customer
  
• Free access to the learning platform GoodHabitz with over 100 courses
  
• Flexible working time account and 30 days of paid leave

Ihr Kontakt

Ansprechpartner
Heiner Elser

Referenznummer
784046/1

Kontakt aufnehmen
Telefon:+49-(0)231-96325252
E-Mail: heiner.elser@hays.de

Anstellungsart
Anstellung bei der Hays Professional Solutions GmbH