Internship – Computer Vision

Stellenbeschreibung:

Job description

Working Student – Computer Vision / Software Developer

Munich

(Work from office only)

Position Type: Part-time

(Working Student)

Join a fast-paced, innovative team and work on cutting-edge projects focused on solving complex problems in robotics, software, and computer vision. As a working student, you'll contribute to developing and improving our computer vision and perception pipeline, gaining hands-on experience with real-world robotics applications.

Responsibilities

  • Develop and implement efficient algorithms using Python, OpenCV, Numpy, Open3D, and Torch.
  • Support the product design phase by analyzing requirements and proposing solutions for image, video, and point cloud processing.
  • Experience with 2D/3D data collection and labeling.
  • Enhance and maintain existing computer vision pipelines, ensuring performance and scalability.
  • Contribute to testing, validation, and documentation of perception software.

Qualifications

  • Currently enrolled in a Master's program in Computer Science, Robotics, Computer Vision, or a related field.
  • Strong programming skills in Python with experience using Numpy, OpenCV, Open3D, and Torch.
  • Familiarity with software development practices, including version control (Git).
  • Interest in robotics, perception, and real-world sensor data.

Nice to Have

  • Experience with ROS / ROS2 and processing/manipulation of rosbag data.
  • Knowledge of Docker or similar containerization tools.

What We Offer

  • A chance to apply your skills on impactful, real-world robotics projects.
  • An entrepreneurial environment with strong emphasis on learning and growth.
  • A collaborative and supportive team culture.

We just consider applications submitted via email.

If you're interested, please send your resume and a brief cover letter to

NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    29 Nov 2025
  • Standort:

    München
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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