Job
- Level
- Experienced
- Job Field
- IT, Network, Embedded
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Riederich
- Working Model
- Onsite
Job Summary
In this role, you integrate robots and sensors into the NeuraGym environment, develop network infrastructures, and synchronize data streams to create reliable training data for AI.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- Excellent Master's, or PhD degree in Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field.
Qualifications
- Strong programming skills in Python and modern C++.
- Solid background in network engineering.
- Excellent problem-solving skills.
- Very good written and spoken English; German is a plus.
Experience
- 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.
- Hands-on experience with robotics middleware and streaming frameworks such as ROS 2, DDS or Zenoh.
- 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.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Neura Robotics GmbH
Neura Robotics GmbH, based in Metzingen, is an innovative company focused on cognitive robotic systems. With products like the robotic arm MAiRA and the humanoid robot 4NE1, the company integrates AI with mechanical elements to create seamless human-machine interaction. Over 1200 employees from more than 45 nations contribute to Neura Robotics' global expansion.
Description
- Company Type
- Startup
- Working Model
- Onsite
- Industry
- Electronics, Automatization
Robotics Integration Engineer - Sensor Networks
- Location
- Riederich
- Working Model
- Onsite
- Diversity
- Open for all genders
