Robotic Service System Engineer NeuraGym (Human)

The role

You find out why a robot cell is not producing or an episode is broken, and tell which layer the fault is in. You fix what can be fixed on site and hand over the rest with a clean ticket. You also help build troubleshooting routines and a service playbook.

What you will do

• Analyse faults across mechanics, electronics, software and the cell environment to find the root cause
• Read logs, telemetry and sensor data, and reproduce failures in a controlled way
• Fix software, configuration, calibration and network issues within first-line scope
• Write clean, reproducible tickets with logs, steps and expected versus observed behaviour
• Escalate design issues directly to the Business Unit
• Keep the robot lifecycle board and the failure case library up to date
• Coach Robotics Service Technicians in diagnosis and commissioning
• Help build troubleshooting routines, UI status information and the service playbook with the Robots & Cell Infrastructure team

Required qualifications

• Degree or equivalent experience in robotics, mechatronics, electrical engineering, computer science or a comparable field
• Experience in systematic fault finding on robots, automation or complex mechatronic systems
• Solid skills in Linux, networking and scripting (for example Python or Bash)
• Ability to read logs and sensor data and separate symptom from cause
• Clear written English for tickets and documentation

Nice to have

• Experience with ROS 2, robot calibration or motion control
• Experience with virtualization, containers and GPU drivers
• Experience with humanoid or mobile robots, or with running vehicle and machine fleets
• Knowledge of safety concepts for collaborative robots
• German language skills

Before you apply

• The interview includes a hands-on task: find a planted fault on a robot cell, from symptom to root cause and ticket

About the company

The posting describes a gym service team within the employer's robotics business, which runs robot gyms and will later serve customer robots. Field findings from this team feed into the next robot generation.