Computer Vision Intern - Safe Human Detection (m/f/d)

Synapticon; Schönaich; Vor Ort; EUR 13.392 - 20.088; Vollzeit

Benefits dieser Stelle

Flexible working hours

Gym membership support

Birthday vouchers

Free drinks and coffee

Snacks and fruit

Breakfast every Monday

Team-building events

Modern office space

Company's WG (upon availability)

Zusammenfassung

Synapticon in Schönaich is looking for a motivated Computer Vision Intern to join the Safety Systems team. The ideal candidate will be involved in implementing important 3D person detection algorithms and working on safety-critical systems related to humanoid robots.

The role requires strong Python skills, knowledge of C++, and experience in computer vision. The internship offers flexible working hours and various perks to support your growth and well-being in a modern, international environment.

Qualifikationen

• Strong interest in applied perception and real-world systems.
• Experience with 3D depth sensing and computer vision technologies.
• Familiarity with point cloud processing tools.

Aufgaben

• Implement and benchmark 3D person detection algorithms.
• Build and integrate Safe Human Detection prototype pipeline.
• Develop test harnesses for validating safety interfaces.
• Run benchmarking and data collection for certification evidence.

Kenntnisse

Python

C++

Computer vision

3D depth sensing

Point cloud processing

ROS2 perception stack

Ausbildung

MSc in Computer Science, Electrical Engineering, or Robotics

Tools

RealSense

Azure Kinect

PCL

Open3D

Jobbeschreibung

WHAT WE ARE LOOKING FOR

We're looking for a motivated Computer Vision Intern (ideally 6 months, mandatory internship) to join our Safety Systems team in Schönaich (close to Stuttgart), with a flexible start date. If you're passionate about real-time 3D perception and want to contribute to safety-critical systems that keep people safe around humanoid robots — this is a uniquely impactful place to develop your skills.

HERE'S WHERE YOU MAKE AN IMPACT

• Implement and benchmark 3D person detection algorithms that fuse depth, RGB, and point cloud data — the core perception layer for knowing where humans are relative to the robot at all times

• Build and integrate Safe Human Detection (SHD) prototype pipeline, turning raw sensor data into actionable, safety-relevant information

• Develop test harnesses and validating that the safety interface behaves correctly under all defined conditions

• Run benchmarking and data collection to generate the kind of reproducible, documented evidence that a real certification process requires

WHO YOU ARE

• Enrolled MSc student in Computer Science, Electrical Engineering, or Robotics — with a strong interest in applied perception and real-world systems

• Strong Python skills and working knowledge of C++, with the ability to move between rapid prototyping and more structured, maintainable implementation

• Experience with computer vision and 3D depth sensing — RealSense, Azure Kinect, or similar — and a genuine understanding of what the data actually represents

• Familiar with point cloud processing tools like PCL or Open3D

• Basic knowledge of the ROS2 perception stack; interest in safety-critical systems and functional safety context is a plus

WHAT'S IN IT FOR YOU

• Flexible working hours when life takes unexpected turns

• Company support for gym memberships through Wellpass

• Birthday vouchers

• Drinks and coffee (free of charge, of course)

• Snacks and fruit for all employees, as well as breakfast every Monday

• Regular global team-building events such as boot camps, skiing, and summer BBQs

• An international team with long-term prospects

• Highly competent colleagues who are experts in their field and happy to support you in your learning and growth

• Modern office space

• Our company's WG (upon availability)