Robotic AI Application Engineer - NEURA Automation (human)

RxREVU, Inc.; Riederich; Vor Ort; EUR 65.000 - 95.000; Vollzeit

Zusammenfassung

RxREVU, Inc. seeks a field robotics engineer to deploy NEURA robots and AI apps at customer sites, from initial setup to acceptance. You will customize AI capabilities, fine-tune robot behavior, and serve as the main technical contact during delivery.

The role requires hands-on field deployment experience, robotics hardware knowledge, ROS/ROS2, and strong Python/C++ skills. Travel to customer sites is expected, with a focus on customer success and knowledge transfer.

Qualifikationen

• Bachelor’s or Master’s degree in CS, Robotics, Electrical Engineering, AI, or related field.
• Hands-on experience deploying or integrating robotic or AI systems in real production or field environments.
• Experience with robotic hardware, sensors, and middleware (ROS/ROS2).
• Willingness to travel to customer sites.
• Solid programming in Python and/or C++, with debugging in real-world conditions.
• Strong communication bridging engineering and customers.

Aufgaben

• Plan and execute the deployment of NEURA robots and AI applications at customer sites, from setup through acceptance.
• Customize for customer tasks, environments, and constraints by configuring and fine-tuning AI capabilities and robot behaviors.
• Serve as the primary technical contact for customers during project delivery.
• Troubleshoot issues during integration and live operation, on-site or with engineering teams.
• Collaborate with Robotics Engineers, Product Management, and R&D to feed field learnings into the roadmap.
• Document deployment processes, configurations, and lessons learned for repeatability.
• Support customer training and handover to ensure long-term success.

Kenntnisse

Python

C++

English proficiency

Willingness to travel

Troubleshooting

Communication

Ausbildung

Bachelor’s or Master’s in CS/Robotics/EE/AI

Tools

ROS/ROS2

Jobbeschreibung

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.