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