Senior, Software Engineer - AutoTagging
Torcrobotics · Ann Arbor, MI, Remote - US
About this role
## Senior Software Engineer - AutoTagging ### About the Company Torc is a leader in autonomous driving since 2007, now part of the Daimler family. We're focused on developing software for automated trucks to transform how the world moves freight. ### Meet the Team The Auto Tagger team is the engine behind our data flywheel, translating petabytes of raw, multi-modal vehicle data into a curated library of critical driving scenarios. We mine driving logs for long-tail events and structure findings into an observations database that accelerates development across autonomous perception, sensor fusion, and generative simulation testing. ### What You'll Do • Integrate and deploy automated event-tagger into production pipelines at scale across petabytes of vehicle log data • Build and maintain data engineering pipelines that organize, structure, and catalog tagged scenario data • Own CI/CD for the Auto Tagger pipeline using GitHub Actions • Write production-grade Python code across the pipeline • Build and operate on Databricks for large-scale data processing and pipeline orchestration • Design and deploy AWS infrastructure (as code) for high-volume, distributed processing • Instrument pipelines with logging, metrics, and alerting; own on-call response • Partner with ML engineers to move tagging models from development into scalable production • Ensure data quality and metadata integrity throughout the pipeline • Troubleshoot and improve pipeline performance, reliability, and cost ### What You'll Need to Succeed • BS/MS in Computer Science, Engineering, or related field with 5+ years of software engineering experience • Strong Python skills with production data/ML pipeline experience • Hands-on CI/CD experience with GitHub Actions • Experience with Databricks and AWS infrastructure • Familiarity with data pipeline orchestration and monitoring • Strong problem-solving and communication skills
Listing freshness
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