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(Senior) Robotics AI Engineer – Training & Deployment (Physical AI) (Mensch)

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Salary
Not listed
Job type
Full-time
Experience
Senior
Posted
9 Oct 2026
Status
Open · checked 7d ago

About this role

Based in Aachen, Germany, the Senior Robotics AI Engineer position involves training physical artificial intelligence models and managing robotic deployment pipelines. This role suits professionals with advanced technical expertise in robotics and a background in user enablement or technical consulting.

Role Overview

Neura-robotics-gmbh seeks a Senior Robotics AI Engineer for Training and Deployment to work within the physical AI training centers known as NEURA Gym. The professional in this position acts as a technical advisor and hands-on trainer, guiding internal stakeholders and clients through the entire robot learning workflow. The primary focus centers on bridging the gap between robotic hardware, artificial intelligence development teams, and end-users to ensure successful real-world robot skill acquisition.

Key Responsibilities

Design training curricula, assess task feasibility, and plan demonstration and data collection sessions for robot skill acquisition.
Guide users through the complete workflow, covering teleoperation, data annotation, model training, simulation, deployment, and validation.
Collaborate with robotics engineers during data collections and live demonstrations to maintain target behaviors and safety standards.
Assist users with model training optimization, review training scripts, evaluate data quality, and help troubleshoot learning errors.
Serve as a liaison between users and cloud and AI teams to facilitate communication and knowledge transfer.
Document lessons learned from training sessions to influence the NeuraGym and Neura-Core-AI product roadmaps.

Requirements

Master's degree in computer science, robotics, electrical engineering, artificial intelligence, a related technical field, or comparable practical experience.
Demonstrated practical background in robot learning, physical AI, or embodied AI, including familiarity with vision-language-action or video-action models.
Hands-on experience working with robotic hardware, teleoperation systems, and related middleware in physical settings.
Strong didactic, problem-solving skills with the ability to manage multiple training projects concurrently.
Advanced communication skills to connect researchers, engineers, and end-users.
Professional fluency in English.

Nice to Have

Familiarity with cloud platforms such as AWS, Azure, or GCP.
Experience with robotic simulation software like NVIDIA Isaac Sim or MuJoCo.
Proficiency in the German language.

Skills and Tools

Vision-Language-Action (VLA) models
Video-Action models
Robotic hardware and middleware
Teleoperation systems
AWS, Azure, GCP
NVIDIA Isaac Sim
MuJoCo

About the Company

Neura-robotics-gmbh develops physical AI training centers, designated as NEURA Gym, where robots acquire industrial capabilities from human operators in real-world environments.

How to Apply

Interested candidates should visit the official company careers page to submit their application for this position.

Skills and tech stack

Questions candidates ask

Where is the position located?

The role is located in Aachen.

What educational background is required?

A Master's degree in computer science, robotics, electrical engineering, artificial intelligence, or a related technical field is required, or a comparable qualification with matching practical experience.

What language skills are necessary?

Negotiation-proof English proficiency is required, while German language skills are considered an advantage.

What technologies are beneficial for this role?

Experience with cloud platforms like AWS, Azure, or GCP, and simulation tools such as NVIDIA Isaac Sim or MuJoCo is beneficial.

Ready to apply?

The application is on the official neura-robotics-gmbh careers page.

Apply on company site