Software Engineer, Internal Tools and Infrastructure

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Descrizione

We're looking for a software engineer to be a catalyst for our operators, engineers, and researchers. You'll own the applications and pipelines that take data from capture through review and delivery, along with the ML services that assist with labeling and automate data checks. The role spans full-stack applications, backend services, cloud infrastructure, and automation. You'll work directly with the people using your software and own projects from design and implementation through deployment and ongoing support. What you'll work on Internal tools and dashboards: Build the collection, annotation, and review tools our teams use daily. Give operators clear views of task progress, data quality, and processing failures, with enough context to act. Data pipelines and automation: Build APIs and pipelines that move video, sensor data, and metadata from capture systems into storage and internal tools. Automate task setup, upload validation, dataset preparation, and delivery tracking to remove manual handoffs. Deployment and reliability: Make releases repeatable and failures easy to diagnose. Build monitoring and recovery paths so teams can retry interrupted uploads and processing jobs without losing work. ML services and LLM APIs: Deploy models behind APIs and in processing pipelines for assisted labeling and automated data checks. Own their reliability in production, and integrate LLM APIs into internal tools to help users investigate failures and resolve operational issues. Worki

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