Robotics Integration Engineer – Sensor Networks (human)

The role

You will own the integration layer connecting robots, sensors, and training pipelines inside the NeuraGym environment. You will build sensor network infrastructure, communication protocols, and data synchronization mechanisms for embodied AI.

What you will do

• Integrate humanoid and collaborative robots and sensors into the Gym.
• Design and operate high-throughput sensor network topologies.
• Develop precise time synchronization and cross-modal alignment strategies.
• Design and integrate sensor fusion components.
• Develop diagnostic tools, dashboards, and health checks for sensor links and stream integrity.
• Collaborate with AI, perception, robotics, and IT infrastructure teams.
• Support QA and annotation workflows.
• Contribute to documentation and support CI/CD for infrastructure and sensor components.

Required qualifications

• Master's, or PhD degree in Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field
• 4+ years of relevant experience in at least one of the core areas: robotics/sensor integration, real-time networking, distributed data acquisition systems, or sensor fusion
• Strong programming skills in Python and modern C++
• Hands-on experience with robotics middleware and streaming frameworks such as ROS 2, DDS or Zenoh
• Solid background in network engineering
• Practical experience with time synchronization (PTP/IEEE 1588, NTP, hardware triggering) and multi-sensor time alignment
• Excellent problem-solving skills
• Very good written and spoken English

Nice to have

• Experience deploying software on robotics hardware and edge devices (e.g. NVIDIA Jetson)
• German is a plus

About the company

neura-robotics-gmbh