{"id":2414577,"url":"https://alion.io/job/neura-robotics-platform-engineer-robot-data-infrastructure-human","title":"Platform Engineer – Robot Data Infrastructure (human)","company":{"id":48149,"name":"NEURA Robotics","domain":"neura-robotics.com","url":"https://alion.io/company/neura-robotics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":153,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-13T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Riederich, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":118000,"period":"year","method":"role_country_seniority_unknown","sample_n":148},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FFmpeg","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"ROS","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"C","optional":true}],"status":"live","first_seen_at":"2026-04-11T11:45:54Z","employer_posted_date":"2026-04-11","last_verified_at":"2026-10-13T16:39:56Z","board_verified":true,"closed_at":null,"days_open":185,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":184},"description":"Your mission & challenges\nYou 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.\nData 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.\n\nEdge-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.\n\nInfrastructure automation: Provision and manage on-premise compute via infrastructure-as-code, and handle containerized deployments and rolling updates across distributed sites.\n\nPlatform services & tooling: Develop backend services (TypeScript, Python), shared libraries, CLI tools, and developer documentation.\n\nMulti-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.\n\nCross-functional collaboration: Work closely with hardware, robotics, and AI/data science teams to onboard new sensor modalities and track data throughput KPIs.\n\nWhat you bring:\nBackend engineering: Strong Python and TypeScript skills in production backend systems.\n\nCloud: Hands-on cloud experience, AWS preferred.\n\nRobotics middleware: Experience with ROS 2/DDS or similar robotics middleware.\n\nMedia codecs: Familiarity with video/audio codecs and compression (FFmpeg, PyAV, H.264/AV1).\n\nInfrastructure-as-code: Ansible, Docker, and Terraform for fleet management.\n\nDevOps mindset: You care about CI/CD, automation, and keeping things shippable.\n\nML data pipelines: Interest in or exposure to ML data pipelines and robot 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