> Markdown version of [/jobs/ext/1601103-senior-robotics-ai-engineer-training-deployment-physical-ai-human](https://www.wearedevelopers.com/jobs/ext/1601103-senior-robotics-ai-engineer-training-deployment-physical-ai-human). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (Senior) Robotics AI Engineer - Training & Deployment (Physical AI) (human) - **Company:** Neura Robotics GmbH - **Location:** München, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Middleware, Information Technology - **Published:** July 5, 2026 - **Apply:** https://www.adzuna.de/details/5789399207 ## About the Role * Master's degree in Computer Science, Robotics, Electrical Engineering, Artificial Intelligence, or a related technical field, or comparable qualifications and practical experience. * Proven hands-on experience in robot learning, Physical AI, or embodied AI, for example through work with Vision-Language-Action (VLA) models, video-action models or similar. * Hands-on experience working with robotic hardware, teleoperation systems, and associated middleware in real-world environments. * Experience with cloud platforms (AWS, Azure, or GCP) and robotics simulation environments such as NVIDIA Isaac Sim, MuJoCo, or similar tools is a plus. * Strong instructional and problem-solving skills, with the ability to manage multiple training projects in parallel. * Strong communication skills with the ability to effectively bridge the gap between researchers, engineers, and end users * Professional proficiency in English, German language skills are beneficial. ## Description * Serve as a hands-on trainer and technical advisor for RoboGym users, designing training curricula, assessing task feasibility, and planning demonstration and data collection sessions for robot skill acquisition. * Onboard and guide users through the complete NeuraGym workflow, including teleoperation, data annotation, model training, simulation, deployment, and validation. * Collaborate closely with robotics engineers during data collection and live demonstration sessions to ensure desired robot behaviors and safety standards are achieved. * Guide users through model training and refinement by reviewing training scripts, identifying data quality issues, helping reproduce and resolve learning failures, and providing hands-on support when persistent blockers arise. * Act as a trusted interface between users and the Cloud and AI teams, fostering collaboration, facilitating knowledge transfer, and ensuring timely support when needed. * Capture lessons learned from training engagements and feed insights back into both the NeuraGym product roadmap and the Neura Core AI roadmap. ## Related Videos - [Developer’s Perspective: Overview of the Tezos Blockchain Ecosystem](https://www.wearedevelopers.com/videos/237-developer-s-perspective-overview-of-the-tezos-blockchain-ecosystem) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [How Robots Learn to be Robots](https://www.wearedevelopers.com/videos/1632-how-robots-learn-to-be-robots) - [AI for Enterprise Developers - Dr. Damir Dobric](https://www.wearedevelopers.com/videos/1831-ai-for-enterprise-developers-dr-damir-dobric) - [Exploring BOS: The Blockchain Operating System by NEAR Protocol](https://www.wearedevelopers.com/videos/781-exploring-bos-the-blockchain-operating-system-by-near-protocol) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)