Smart Factory Expert (Human)

NEURA Robotics; Stuttgart; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

NEURA Robotics in Stuttgart seeks a masters-educated engineer to lead the build-up of the Robotics Control & System Integration area for the Smart Factory, scaling robotic arms including around 4NE-1. You will integrate systems across mechanics, electronics and software, and commission them on Linux/Debian.

You will perform measurement engineering and data analysis with Python or MATLAB, connect IoT devices and measurement systems (OPC UA, MQTT, REST), and collaborate with Production IT to

Qualifikationen

• Master’s degree in mechatronics, CS, robotics, automation, or control engineering.
• Experience with system integration of robotic systems (mechanics, electronics, software) on Linux/Debian.
• Experience in measurement engineering and data analysis with Python or MATLAB.
• Experience connecting equipment, IoT devices, and measurement systems (OPC UA, MQTT, REST) and interfaces to MES/production systems and databases (SQL).

Aufgaben

• Drive the build-up of the Robotics Control & System Integration area for the Smart Factory and scale robotic arms.
• Integrate robotic systems across mechanics, electronics, and software, and commission them on Linux/Debian.
• Carry out measurement engineering and data analysis using Python or MATLAB; connect equipment, IoT devices, and measurement systems (OPC UA, MQTT, REST).
• Create interfaces to MES/production systems and databases (SQL) with Production IT team.
• Build CI/CD pipelines (GitLab CI, Jenkins, Docker/Podman) and take on requirements engineering with production and stakeholders.
• In the first 90 days, take over an integration topic, connect a measurement station to MES, run a measurement campaign, and build a CI/CD pipeline.

Kenntnisse

Python

MATLAB

SQL

OPC UA

MQTT

REST

GitLab CI

Jenkins

Docker

Podman

C/C++

EtherCAT

Ausbildung

Master’s degree in mechatronics, CS, robotics, automation, or control engineering

Tools

GitLab CI

Jenkins

Docker

Podman

Jobbeschreibung

Your mission & challenges

• You will drive the build-up of our Robotics Control & System Integration area for the Smart Factory and scale our robotic arms, including around 4NE-1.
• You will integrate robotic systems across mechanics, electronics, and software, and commission them on Linux/Debian.
• You will carry out measurement engineering and data analysis using Python or MATLAB, and connect equipment, IoT devices, and measurement systems (OPC UA, MQTT, REST).
• You will create interfaces to MES/production systems and databases (SQL), together with the Production IT team.
• You will build CI\/CD pipelines (GitLab CI, Jenkins, Docker/Podman) and take on requirements engineering in coordination with production and stakeholders.
• In your first 90 days, you'll take over an integration topic, connect a measurement station to the MES system, run a measurement campaign to analyze a robotic arm's performance, and build a CI\/CD pipeline.

What we can look forward to

• A completed Master's degree in mechatronics, computer science, robotics, automation, or control engineering.
• Experience in the system integration of robotic systems (mechanics, electronics, software, Linux/Debian) as well as in measurement engineering and data analysis with Python or MATLAB.
• Experience connecting equipment, IoT devices, and measurement systems (e.g. OPC UA, MQTT, REST) and with interfaces to MES/production systems and databases (SQL).
• Knowledge of CI\/CD and software deployment (e.g. GitLab CI, Jenkins, Docker/Podman) as well as requirements engineering.
• Business-fluent German and English, spoken and written (C1).
• A plus: professional experience with robotic/automation systems, control and drive engineering, basic embedded knowledge (C/C++, EtherCAT), experience with MES/ERP systems, and knowledge of IT\/OT security and common safety standards (ISO 10218, IEC 61508).