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  1. All roles
  2. Agile Robots
  3. (Senior) Robotics AI Engineer
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Agile Robots

(Senior) Robotics AI Engineer

OnsiteMunich, GermanyAI/ML
Apply directly at Agile Robots

Our Take

Design AI-enabled robotic systems integrating ML inference into perception pipelines on real platforms.

What you’ll do

  • Design software integrating ML inference into pipelines
  • Ensure stable system behavior under real-world constraints
  • Work with robot sensors for robust perception
  • Diagnose issues across software, hardware, and runtime execution

What they’re looking for

  • Bachelor's or Master's degree in relevant field
  • Several years of practical experience in robotics systems engineering
  • Strong programming skills in Python and/or C++
  • Experience with robotics middleware and sensing systems

What you get

  • Corporate Benefits Program covering health and mobility
  • Learning budget of 100 € net per month

Skills & Focus Areas

  • Robotics
  • Machine Learning
  • System Integration
  • Perception
  • Simulation
  • Data Capture

As posted by Agile Robots

Skip to main content English Back to all jobs (Senior) Robotics AI Engineer (m/f/d) Germany, Munich (HQ) Full-time Permanent employee Apply for this job About the role The AI Research Division of Agile Robots is looking for experienced robotics engineers who build AI-enabled robotic systems that work in the real world. In this role, your primary responsibility is to design, integrate, and operate robotic systems that use machine-learning models under real-world constraints such as latency, safety, sensing noise, and hardware variability. You will work closely with ML Research Engineers and ensure that ML-driven capabilities survive contact with real robots and behave reliably in practice. This posting serves as a broader entry point to our teams. After we evaluate your background, we’ll match you with the specific role and team where your skills have the most impact. The team assignment happens during the interview process. 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. About us Agile Robots SE is an international high-tech company based in Munich, Germany with a production site in Kaufbeuren and more than 2300 employees worldwide. Our mission is to bridge the gap between artificial intelligence and robotics by developing systems that combine state-of-the-art force-moment-sensing and world-leading image-processing technology. This unique combination of technologies allows us to provide user-friendly and affordable robotic solutions that enable intelligent precision assembly. This is made possible by our employees, who bring out the best in each and every day with creativity and enthusiasm. Become part of this team and shape the future of robotics with us! We are proud of our diversity and welcome your application regardless of gender and sexual identity, nationality, ethnicity, religion, age, or disability. Apply for this job Powered by Personio Data privacy statement Legal Notice

Apply directly at Agile Robots
Location
Munich, Germany
Work mode
Onsite
Type
FULL_TIME
PostedJun 29
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Agile Robots
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