München

Your Responsibilities

• Perception Design: Design and develop industrial multi-modal perception systems combining 2D/3D vision, classical image processing, and learning-based methods for robotic applications.
• Vision Systems: Design, integrate, and evaluate multi-camera and high-speed vision setups, including synchronization, calibration strategies, and performance trade-offs.
• System Validation: Validate and demonstrate perception system performance in complex robotic scenarios, considering accuracy, latency, robustness, and failure modes.
• Robotics Integration: Work closely with robotics, control, and software teams to integrate perception systems into end-to-end robotic solutions.
• Architecture Definition: Translate functional and technical requirements into perception system architectures, interfaces, and implementation concepts.
• Field Deployment: Support on-site deployment, validation, and feedback collection at customer locations, with travel depending on project phase.

Essential Skills

• Education: Master’s degree in Computer Science, Electrical Engineering, Robotics, AI, or a related field.
• Perception Experience: Experience designing and implementing industrial vision or robotic perception systems.
• Programming: Strong proficiency in C/C++ for Linux and Windows environments.
• Vision Libraries: Hands-on experience with vision libraries such as OpenCV in prototype or production systems.
• Hands-On Mindset: Practical mindset for working with evolving hardware–software prototypes under real-world constraints.
• Communication: Strong analytical problem-solving skills and clear technical communication in English.

Beneficial Skills

• Camera Setup: Experience with camera, lens, and lighting setup and calibration for robotic systems.
• Edge Platforms: Exposure to embedded or edge perception platforms such as NVIDIA Jetson or heterogeneous processing systems (GPU / FPGA).
• Learning-Based Vision: Experience integrating learning-based vision components (e.g. object detection or segmentation) using frameworks such as PyTorch, TensorRT, or similar.
• Simulation Tools: Familiarity with vision system simulation or validation tools (e.g. Blender, NVIDIA robotics or digital factory simulations).
• Additional Languages: Experience with Python and/or C# in robotics or perception contexts.
• ML Frameworks: Familiarity with applied ML/DL libraries and deployment toolchains used in industrial vision systems.

What we offer

• A dynamic high-tech company combined with financial soundness and world-class investors
• Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment
• Lots of development opportunities in the context of our continued growth
• Challenging tasks and impactful projects alongside experts that enable professional and personal growth
• Corporate Benefits Program that covers health, mobility, and learning with 100€ net per month
• Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment