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

Agile Robots SE; München; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading robotics company in Munich is seeking a (Senior) Robotics AI Engineer to design and implement AI-enabled robotic systems. You will collaborate with machine learning engineers to work on real-world constraints and ensure stability in system behavior. The ideal candidate has a Bachelor's or Master's degree in a relevant field and several years of experience in robotics systems engineering, with strong programming skills in Python or C++. Join our dynamic international team and contribute to the advancement of robotics technology.

Leistungen

Corporate Benefits Program

Dynamic work environment

Professional development opportunities

Modern office facilities

Qualifikationen

• Experience integrating ML inference into robotics systems.
• Solid experience developing software for robotic systems.
• Strong programming skills in Python and/or C++.

Aufgaben

• Design and implement robotics software integrating ML model inference.
• Ensure system stability by managing latency and safety constraints.
• Work with sensors to enable robust perception and interaction.
• Diagnose and resolve system-level issues across software and hardware.

Kenntnisse

System Integration

Runtime Reliability

Embodied Sensing

Operational Debugging

Data Capture

Simulation Testing

Cross Teamwork

Ausbildung

Bachelor's or Master's degree in a relevant field

Tools

Python

C++

ROS2

Jobbeschreibung

Join to apply for the (Senior) Robotics AI Engineer (m/f/d) role at Agile Robots SE

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

• 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.
• 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.