Agile Robots
80331 München - Deutschland
Ingenieur/in - Elektrotechnik
Arbeit
Vollzeit
ab 15.04.2026
Beschreibung
## 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, consideri... weiter lesen
- 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, consideri... weiter lesen
## 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
- 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
Ref-Nr.: 10469655
Aktualisiert:
17.04.2026
Quelle: Bundesagentur für Arbeit
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Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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