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

Agile Robots SE; München; Vor Ort; EUR 80.000 - 100.000; Vollzeit

Zusammenfassung

A leading robotics company in Munich is seeking experienced robotics engineers to design and integrate AI-enabled robotic systems. Responsibilities include ensuring system reliability and addressing real-world constraints. Ideal candidates will have a Bachelor's or Master's degree in a relevant field, strong programming skills in Python or C++, and experience in robotics systems engineering. The company offers a collaborative work environment and opportunities for personal and professional growth.

Leistungen

Corporate Benefits Program covering health and learning

Modern office facilities

Free drinks & fruits

Qualifikationen

• Experience in robotics systems engineering with a solid background.
• Proficient in developing software for robotic systems or autonomous platforms.
• Familiarity with robotics middleware and runtime integration.

Aufgaben

• Design and implement robotics software for real robotic platforms.
• Ensure stable operation by addressing latency and safety constraints.
• Diagnose and resolve system-level issues across software and hardware.

Kenntnisse

Robotics software development

Python programming

C++ programming

Real-world system debugging

Ausbildung

Bachelor's or Master's degree in relevant field

Tools

ROS2

Jobbeschreibung

Permanent employee, Full-time – Germany, Munich (HQ)

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.

Qualifications

• 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.

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.