Computer Vision Algorithm 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.

• Developing advanced Computer Vision algorithms for automotive interior (in-cabin) sensing from early prototype to production grade solution
• Relevant algorithmic problems include image pre-processing, camera calibration, 3D pose estimation from 2D images, and 3D scene reconstruction from multi view geometry
• Integrating Computer Vision modules with vision-based Machine Learning modules, and combining the outputs for specific applications
• Writing high quality, tested and efficient software in C++ for our Interior Sensing SW Stack (MISRA compliant)

• Master's degree in computer science or related field with specialization on Machine Learning, Deep Learning, Computer Vision, or Autonomous Systems
• Relevant practical working experience
• Strong theoretical and practical background in image processing, computer vision, and multi-view geometry
• Strong software development skills in C++. You have a passion for clean, well-tested, and documented code
• Practical experience with Linux, version control systems (e.g. Git, DVC), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket)
• Fluent in English. Excellent written and verbal communication 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
784040/1

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

Anstellungsart
Anstellung bei der Hays Professional Solutions GmbH