Smart Factory Expert
Neura Robotics
Smart Factory Expert
Neura Robotics
Cognitive robots with perception, manipulation, collaboration
● 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.
● 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).
Cognitive robots with perception, manipulation, collaboration
Neura Robotics builds cognitive robots for industrial and service settings, combining perception, manipulation, and human collaboration. It develops both the hardware and the software stack for Physical AI, creating robot platforms like MAiRA, MAV, LARA and MiPA along with training infrastructure. The system works by integrating sensing, decision-making, and manipulation capabilities on a hardware-software stack that can be deployed in large-scale production, with the company planning robots fleets and NEURA Gyms for ongoing training and improvement. What sets Neura Robotics apart is its end-to-end approach to Physical AI, including a focus on mass production, an established global deployment plan, and a broad ecosystem of strategic backers and partners that support scaling and international expansion. The goal is to enable worldwide deployment of its robot platforms and associated training infrastructure, turning physical AI into widely available industrial and service automation.
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