Data Infrastructure Engineer Robotics Ai

Build robotics data infrastructure at Mecka AI using Python, SQL, and object storage for global embodied AI systems. Own production data and fleet workflows end to end.As a Data Infrastructure Engineer, you will turn synchronized video, robot state, and actions into searchable datasets. You will also operate infrastructure supporting geographically distributed sites. The work spans data catalogs, quality pipelines, governance, exports, and edge deployments.Key Responsibilities:
Own ingestion, storage layout, retention, tiering, and data costsBuild searchable catalogs for episodes, labels, robots, and qualityAutomate checks for dropped frames, drift, and missing streamsExport versioned datasets with provenance for teams and customersProvision, deploy, monitor, and roll back remote fleet infrastructureRequirements:
Three to four years owning production systems end to endExperience managing video, sensor logs, or images in object storageStrong Python and SQL skillsInfrastructure-as-code, containers, and CI/CD experiencePipeline experience with retries, idempotency, backfills, and monitoringApply data engineering, infrastructure automation, and production reliability skills to Mecka AI’s robotics datasets and fleet.
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