Robotic AI Application Engineer – NEURA Automation (human)
LocationMetzingen / Riederich
Work modeon-site
Typefull-time
SeniorityMid
DepartmentAI
Company size1,001–5,000 people
PostedAug 24, 2026 · 1mo ago
Verified live2h ago
At a glanceSummarised by Seekless from the posting.
Must have8
Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Artificial Intelligence, or a related technical field — or comparable qualifications and practical experience
Hands-on experience deploying or integrating robotic or AI-based systems in real production or field environments
Practical experience with robotic hardware, sensors, and middleware (e.g., ROS/ROS2)
Comfort working directly with customers, including some willingness to travel to customer sites
Solid programming skills in Python and/or C++, with the ability to debug and adapt systems under real-world conditions
Strong troubleshooting skills and a hands-on, get-it-done attitude
Excellent ability to bridge the gap between engineering and customers
Professional proficiency in English
Nice to have1
German language skills are a plus
Skills
Python
C++
ROS
ROS2
Your Mission & Challenges
•
Deploy end-to-end: Plan and execute the deployment of NEURA robots and AI applications at customer sites, from initial setup through final acceptance.
•
Customize for the customer: Configure, adapt, and fine-tune existing AI capabilities and robot behaviors to match customer-specific tasks, environments, and constraints.
•
Be the technical bridge: Act as the primary technical contact for customers during project delivery, understanding their requirements and translating them into working robot applications.
•
Resolve in the field: Troubleshoot issues that arise during integration and live operation, resolving them on-site or in close coordination with engineering and product teams.
•
Close the loop: Collaborate with Robotics Engineers, Product Management, and R&D to feed field learnings and customer requirements back into the product roadmap.
•
Build institutional knowledge: Document deployment processes, configurations, and lessons learned to make future customer projects faster and more repeatable.
•
Ensure customer success: Support customer training and handover, ensuring long-term success of the deployed solution.
What We Can Look Forward To
•
Your background: Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Artificial Intelligence, or a related technical field — or comparable qualifications and practical experience.
•
Field deployment experience: Hands-on experience deploying or integrating robotic or AI-based systems in real production or field environments.
•
Hardware and middleware expertise: Practical experience with robotic hardware, sensors, and middleware (e.g., ROS/ROS2).
•
Customer engagement: Comfort working directly with customers, including some willingness to travel to customer sites.
•
Programming proficiency: Solid programming skills in Python and/or C++, with the ability to debug and adapt systems under real-world conditions.
•
Problem-solving mindset: Strong troubleshooting skills and a hands-on, get-it-done attitude.
•
Communication strength: Excellent ability to bridge the gap between engineering and customers.
•
Languages: Professional proficiency in English; German language skills are a plus.