Agile Robots
80331 München - Deutschland
IT-Entwickler/in (Weiterbildung/Ausbildung)
Arbeit
Vollzeit
ab 12.02.2026
Beschreibung
## Your Responsibilities
(Your exact scope depends on your background and team alignment.)
- System Integration: Design and implement robotics software that integrates ML model inference into perception, decision-making, and action pipelines on real robotic platforms.
- Runtime Reliability: Ensure stable system behavior by handling latency, synchronization, safety constraints, and failure modes in real-world operation.
- Embodied Sensing: Work with robot sensors and signals such as cameras, de... weiter lesen
(Your exact scope depends on your background and team alignment.)
- System Integration: Design and implement robotics software that integrates ML model inference into perception, decision-making, and action pipelines on real robotic platforms.
- Runtime Reliability: Ensure stable system behavior by handling latency, synchronization, safety constraints, and failure modes in real-world operation.
- Embodied Sensing: Work with robot sensors and signals such as cameras, de... weiter lesen
## Your Responsibilities
(Your exact scope depends on your background and team alignment.)
- System Integration: Design and implement robotics software that integrates ML model inference into perception, decision-making, and action pipelines on real robotic platforms.
- Runtime Reliability: Ensure stable system behavior by handling latency, synchronization, safety constraints, and failure modes in real-world operation.
- Embodied Sensing: Work with robot sensors and signals such as cameras, depth, proprioception, and other modalities to enable robust perception and interaction.
- Operational Debugging: Diagnose and resolve system-level issues across software, sensing, hardware interfaces, and runtime execution.
- Data Capture: Build and maintain data collection, logging, and validation workflows from robot runs, teleoperation, or simulation.
- Simulation Testing: Use simulation and testing frameworks to validate behaviors, reduce deployment risk, and reproduce real-world failures.
- Cross Teamwork: Partner as a peer with ML Research Engineers, data engineers, and control engineers to align models with real-world constraints.
## Essential Skills
- Education Level: Bachelor's or Master's degree in a relevant field, along with several years of relevant practical experience in robotics systems engineering.
- Robotics Software: Solid experience developing software for robotic systems or autonomous platforms.
- Systems Coding: Strong programming skills in Python and/or C++.
- Middleware Use: Experience working with robotics middleware, sensing systems, and runtime integration.
- System Constraints: Understanding of real-world robotics constraints including latency, synchronization, safety, and hardware variability.
- Operational Depth: Proven ability to debug, test, and operate robotic systems beyond simulation.
## Beneficial Skills
- ML Integration: Experience integrating ML inference into robotics systems for perception, action selection, or policy execution.
- ROS Experience: Familiarity with ROS2 or similar robotics frameworks.
- Embodied Data: Exposure to teleoperation, simulation, or embodied data collection workflows.
- Multimodal Signals: Experience working with robot data such as vision, depth, force, or trajectories.
- AI Curiosity: Strong interest in AI-enabled robotics and embodied intelligence.
## What we offer
- 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 facilites with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.
(Your exact scope depends on your background and team alignment.)
- System Integration: Design and implement robotics software that integrates ML model inference into perception, decision-making, and action pipelines on real robotic platforms.
- Runtime Reliability: Ensure stable system behavior by handling latency, synchronization, safety constraints, and failure modes in real-world operation.
- Embodied Sensing: Work with robot sensors and signals such as cameras, depth, proprioception, and other modalities to enable robust perception and interaction.
- Operational Debugging: Diagnose and resolve system-level issues across software, sensing, hardware interfaces, and runtime execution.
- Data Capture: Build and maintain data collection, logging, and validation workflows from robot runs, teleoperation, or simulation.
- Simulation Testing: Use simulation and testing frameworks to validate behaviors, reduce deployment risk, and reproduce real-world failures.
- Cross Teamwork: Partner as a peer with ML Research Engineers, data engineers, and control engineers to align models with real-world constraints.
## Essential Skills
- Education Level: Bachelor's or Master's degree in a relevant field, along with several years of relevant practical experience in robotics systems engineering.
- Robotics Software: Solid experience developing software for robotic systems or autonomous platforms.
- Systems Coding: Strong programming skills in Python and/or C++.
- Middleware Use: Experience working with robotics middleware, sensing systems, and runtime integration.
- System Constraints: Understanding of real-world robotics constraints including latency, synchronization, safety, and hardware variability.
- Operational Depth: Proven ability to debug, test, and operate robotic systems beyond simulation.
## Beneficial Skills
- ML Integration: Experience integrating ML inference into robotics systems for perception, action selection, or policy execution.
- ROS Experience: Familiarity with ROS2 or similar robotics frameworks.
- Embodied Data: Exposure to teleoperation, simulation, or embodied data collection workflows.
- Multimodal Signals: Experience working with robot data such as vision, depth, force, or trajectories.
- AI Curiosity: Strong interest in AI-enabled robotics and embodied intelligence.
## What we offer
- 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 facilites with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.
Ref-Nr.: 9307612
Aktualisiert:
18.02.2026
Quelle: Bundesagentur für Arbeit
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.
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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