(Senior) AI Engineer Embodied AI & Learning from Egocentric Videos
Develop embodied AI learning algorithms using VLA models to enable robots to acquire manipulation skills.

A provider of high-performance collaborative robots and intelligent manufacturing solutions, focusing on enhancing industrial productivity through automation.
Roles based in: Munich
Builds in: AI/ML · Infrastructure · Robotics
Seniority: 2 senior
Hiring engineering roles here since June 2026
Curated from live Agile Robots postings. Click any role for the full brief.
Develop embodied AI learning algorithms using VLA models to enable robots to acquire manipulation skills.
Build next-gen robotic teleoperation systems enabling high-quality demonstration data for foundation models.
Build and operate end-to-end data collection pipelines for humanoid robots using Node.js/Python/Go on AWS.
Develop end-to-end control policies for humanoid robots using RL/IL on physical hardware.
Design real-time controllers and whole-body algorithms for robotic systems using C++ and Python.
Build distributed ML infrastructure to move models from prototype to production at Agile Robots.
Develop industrial robotics software using C++ and Python to create automated robotic concepts.
Design robust C++ software infrastructure for industrial robotics platform systems.
Design and deploy AI solutions (VLAs) for robotic systems using C++ and Python.
Design AI-enabled robotic systems integrating ML inference into perception pipelines on real platforms.
Architect robust Python frameworks and microservices for Agile Robots' large-scale robotic data pipelines in Munich.
Develop software systems for large-scale robotic data collection at Agile Robots in Munich using Python and C++.
No longer open on Agile Robots's site. Kept for reference — saved archived roles stay in your dashboard.