Working Student (m/f/d) Object Recognition


Your mission

As our Working Student (m/f/d) Object Recognition, you are part of our software development team. You support the team to ensure that our software products are tested, documented, developed and deployed with the highest standards. Together with the rest of the Object Recognition team, you work on our innovative software solutions for our world-class LiDAR system. We work on algorithms and  Point Cloud data to convert them into useful applications for clients. We focus on modern design and easy to use interfaces.

Your tasks

⟋ Analyze, test and document existing code base and improve our release process
⟋ Participate in algorithm development for our innovative point cloud  processing solutions
⟋ You are involved in the development of the internal framework for point  cloud processing algorithms (if interested)
⟋ You are involved in the development of our web-based solution to create an easy to use interface for point cloud processing
⟋ You are involved in the development of solutions for clients

Your profile

⟋ You have relevant programming skills in C++, Python or JavaScript
⟋ You have experience with version control and Linux
⟋ Any experience with web frameworks/development is appreciated  (JavaScript/TypeScript and designing interfaces and ideally familiar with ReactJs or Angular)
⟋ You have experience or interest in working with Computer Vision, 3D data and point cloud processing
⟋ You have good communication skills (oral, written) in English

Why Blickfeld?

⟋ Enjoy free beverages and lunch allowance
⟋ Work in a dynamic environment with quick development cycles and flat hierarchies
⟋ Develop ideas and realize them
⟋ Be part of a great team, that lives and breathes technology
⟋ Make the future of mobility a reality today
⟋ We are one team – everybody pitches in
⟋ “Can do” attitude
⟋ Courage to act and to make decisions
⟋ Things can go wrong, that’s ok
⟋ Friendly and constructive behavior
⟋ We stick together and can rely on each other


We are looking forward to your application, including your CV, certificates/diplomas and a short cover letter.
Contact person: Florian Lenz ⟋


Please send a short letter of motivation, your certificates and your CV. We are looking forward to your application!