Your mission & challenges
You design, build, and operate the end-to-end data infrastructure that turns raw multi-modal robot sensor recordings into ML-ready datasets. Working at the intersection of robotics, edge computing, and cloud data engineering, you own the full pipeline, from physical data collection environments to training-ready formats for robot learning.
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Data format & pipeline design: Define and evolve internal data formats for multi-modal sensor streams (video, depth, audio, point clouds, joint states, tactile) with efficient compression.
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Edge-to-cloud ingestion & transformation: Build services that orchestrate on-premise recording, validate data quality, transfer large volumes to the cloud, and convert raw data into structured formats for ML consumption.
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Infrastructure automation: Provision and manage on-premise compute via infrastructure-as-code, and handle containerized deployments and rolling updates across distributed sites.
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Platform services & tooling: Develop backend services (TypeScript, Python), shared libraries, CLI tools, and developer documentation.
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Multi-agent annotation: Orchestrate vision-language agents that auto-annotate multi-modal episodes at scale, with human-in-the-loop review to keep labels training-ready.
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Cross-functional collaboration: Work closely with hardware, robotics, and AI/data science teams to onboard new sensor modalities and track data throughput KPIs.
What you bring:
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Backend engineering: Strong Python and TypeScript skills in production backend systems.
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Cloud: Hands-on cloud experience, AWS preferred.
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Robotics middleware: Experience with ROS 2/DDS or similar robotics middleware.
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Media codecs: Familiarity with video/audio codecs and compression (FFmpeg, PyAV, H.264/AV1).
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Infrastructure-as-code: Ansible, Docker, and Terraform for fleet management.
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DevOps mindset: You care about CI/CD, automation, and keeping things shippable.
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ML data pipelines: Interest in or exposure to ML data pipelines and robot learning.
Platform Engineer – Robot Data Infrastructure (human) in Riederich Arbeitgeber: Neura Robotics
Als Arbeitgeber bietet NEURA eine dynamische und innovative Arbeitsumgebung, in der Sie als Physical AI Data Operations Expert direkt an der Schnittstelle zwischen Mensch und Maschine arbeiten. Unsere Unternehmenskultur fördert Teamarbeit und kontinuierliches Lernen, während wir Ihnen die Möglichkeit bieten, Ihre Fähigkeiten in einem zukunftsorientierten Bereich wie Robotik und KI weiterzuentwickeln. Zudem profitieren Sie von flexiblen Arbeitszeiten und einem inspirierenden Umfeld in unseren modernen NEURA Gyms, die sich ideal für persönliches und berufliches Wachstum eignen.
