Robotics Integration Engineer – Sensor Networks (human)

NEURA Robotics; München; Vor Ort; EUR 85.000 - 120.000; Vollzeit

Zusammenfassung

NEURA Robotics in Munich seeks an experienced engineer to own the integration layer connecting robots, sensors, and training pipelines within the NeuraGym environment.

You will build the sensor network infrastructure, time synchronization, and data fusion mechanisms to produce reliable, training-ready streams for embodied AI. Collaboration across AI, perception, and IT teams is essential for CI/CD and QA support.

Qualifikationen

• Master's or PhD in Computer Science, Electrical Engineering, Robotics, Mechatronics, or related field.
• 4+ years of relevant experience in robotics/sensor integration, real-time networking, distributed data acquisition, or sensor fusion.
• Strong programming skills in Python and C++.
• Hands-on experience with robotics middleware and streaming frameworks such as ROS 2, DDS or Zenoh.
• Solid background in network engineering.
• Experience deploying software on robotics hardware and edge devices (e.g. NVIDIA Jetson).
• Excellent problem-solving skills.
• Very good written and spoken English; German is a plus.

Aufgaben

• Own the integration layer that connects robots, sensors, and training pipelines in NeuraGym environment.
• Build sensor network infrastructure, communication protocols, and data synchronization and fusion mechanisms for training-ready streams.
• Integrate robots and sensors end-to-end from cabling and mounting to driver-level bring-up, calibration, and runtime health monitoring.
• Design and operate high-throughput sensor networks with VLAN segmentation, QoS, and deterministic uplink for time-critical data.
• Develop precise time synchronization (PTP/NTP, hardware triggers) and cross-modal alignment for multi-sensor episodes.
• Create sensor fusion components that combine visual, inertial, and proprioceptive data for robust scene and state representations.
• Develop diagnostics, dashboards, and health checks for sensor links, time sync quality, packet loss, and stream integrity.
• Collaborate with AI, perception, robotics, and IT teams to define integration requirements, support QA/annotation workflows, and assist CI/CD for infrastructure.

Kenntnisse

Python

C++

ROS 2

DDS

Zenoh

Networking

Time synchronization

Edge devices

English proficiency

Problem solving

Ausbildung

Master's or PhD in CS/EE/Robotics

Tools

ROS 2

DDS

Zenoh

Jobbeschreibung

Your Mission & Challenges

You will become part of our AI Data Operations team and own the integration layer that connects robots, sensors, and training pipelines inside our NeuraGym environment. You will be responsible for building the sensor network infrastructure, communication protocols, and data synchronization and fusion mechanisms that turn raw multi-modal robot data into reliable, training-ready streams for embodied AI.

• Robot & Sensor Integration: End-to-end integration of humanoid and collaborative robots as well as a wide range of sensors into the Gym - from cabling and mounting concepts to driver-level bring-up, calibration, and runtime health monitoring.

• Sensor Network Infrastructure: Design and operation of high-throughput sensor network topologies based on VLAN segmentation, QoS policies, and deterministic uplink behavior for time-critical robot data.

• Data Synchronization & Time Alignment: Development of precise time synchronization (PTP/NTP, hardware trigger lines) and cross-modal alignment strategies to guarantee temporally consistent multi-sensor episodes suitable for model training and evaluation.

• Sensor Fusion: Design and integration of sensor fusion components that combine visual, inertial, and proprioceptive streams into coherent scene and robot state representations - as a foundation for downstream perception, annotation, and policy learning.

• Diagnostics & Observability: Development of diagnostic tools, dashboards, and health checks for sensor links, time sync quality, packet loss, and stream integrity - enabling fast triage during recording sessions and long-term reliability tracking.

• Interdisciplinary Collaboration: Work closely with AI, perception, robotics, and IT infrastructure teams to define integration requirements, support QA and annotation workflows, contribute to documentation, and support CI/CD for infrastructure and sensor components.

What We Can Look Forward To

• Excellent 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

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

• Excellent problem-solving skills

• Very good written and spoken English; German is a plus