Physical AI Data Operations Expert (human)

Neura Robotics GmbH
München, Germany
26 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Job source

Tech stack

Artificial Intelligence Computer Vision C++ (Programming Language) Cloud Computing Computer Programming Continuous Integration Information Engineering Data Integrity Software Debugging Disk Controller EtherCAT Python (Programming Language)
+10 more
Kinematics Real-Time Operating Systems DataOps Data Streaming Robot Operating System Software Distribution Delivery Pipeline Information Technology Low Latency Software Version Control

Job description

Physical AI can’t be trained on internet data alone. Robots need to learn skills in the real world - by observing, interacting with, and operating in real environments. That’s the idea behind NEURA Gym: a global network of physical training centers where robots learn industrial tasks/skills directly from experienced human operators/ the people who know these processes inside out.

As Physical AI Data Operations Expert, you’ll work side by side with our data operators, our robots, and our customers and keep the NEURAGym, our data production factory, up and running.

Your mission & challenges

  • Be the first point of contact for the data operators and data operator interns who teleoperate our robots during your shift. Train, support, and encourage support the data operators staff to produce highest quality data.
  • Enable our customers: translate complex technical concepts in easy to understand trainings. Compile onboarding material, organize workshops for our customers and enable our customer teams to act autonomously. Be the first point of contact with technical questions.
  • Adapt and debug the robotics software stack to ensure and continuously improve Gym operations. You understand robotics fundamentals such as drive control, fieldbus communications, and kinematics.
  • You are familiar with unixiod real-time operating systems including low-latency networking (UDP, DDS), programming (Python/C++) and related best practices (version control, CI/CD). You are fluent with containerized software distribution and deployment workflows.
  • Be the bridge between the Gym staff and Neura’s Research & Development and service departments.
  • Set up and calibrate the tele operations toolchain and instruct both internal colleagues and customers in its use. Configure all necessary IT components (e.g., sensors such as cameras and depth sensors, data recording stations, network-setup), in NEURA’s and customers’ Gyms and ensure they meet the requirements for long-term reliable operation.
  • Understand the end to end data flow in the Gym, starting with the initial capture on various sensors, caching, synchronizing and annotating the data until it is uploaded into our cloud infrastructure. You ensure the required data integrity and transport latency.

Requirements

  • Degree in Engineering, Mechatronics, Robotics, Computer Science, Business, or a related field.
  • Strong organizational skills and a structured approach to problem-solving.
  • Practical experience with multi sensor setups incl. calibration and synchronization
  • Hands-on-mentality: you like working with hardware, are not shy to to pick a screw driver and a soldering iron
  • Solid understanding of Data Collection and Data Engineering, in particular in the context of Imitation Learning, Robot Learning or Computer Vision
  • Programming experience with C++ and Python, as well as experience with Embedded Computing, real-time operating systems, and networking stacks (knowledge of EtherCAT is a plus)
  • Experience with robotics, AI, automation, or emerging technologies
  • Fluent in English; German is highly beneficial.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on de.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:08 min

Progressing from standard robotics to cognitive learning systems

Clemens Schwaiger · LIVE

8:06 min

Core hardware and software components of robotics

Florian Gather Florian Gather +1 · WWC Europe 2026

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

1:31 min

Essential AI and human skills for future teams

Alexander Weißhaupt Alexander Weißhaupt +1 · WWC 2025

2:19 min

Defining physical AI and multimodal robotics generation capabilities

Iulia Feroli Iulia Feroli · WWC Europe 2026

2:54 min

Hallucinating valid trajectories using video diffusion models

Alexander Schwarz Alexander Schwarz · WWC 2025

Videos

See all

Related articles

See all