(Senior) Robotics AI Engineer (m/f/d)

## 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.