Senior Software Engineer - AutoTagging

Vaga não está no LinkedIn

🕒 5 dias atrás

🚗 Michigan – Remoto

🚗 Michigan – Remote

💵 $160.800 - $193.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Torc Robotics

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2007

🚘 Automotivo

📦 Logística

🚗 Transporte

Automotive • Logistics • Transport

A Torc Robotics é uma empresa inovadora focada na comercialização de caminhões autônomos para transporte de carga de longa distância. Como uma subsidiária independente da Daimler Truck, a empresa está desenvolvendo tecnologia autônoma, com foco principal no Freightliner Cascadia. A Torc está comprometida com o transporte seguro, melhorando continuamente suas soluções através de testes rigorosos e integração de sensores líderes da indústria. Ela colabora com empresas de gestão de frotas para implementar soluções autônomas no mundo real, com o objetivo de liderar a indústria de caminhões autônomos.

Descrição

• Integrate and deploy the automated event-tagger into production pipelines, running and monitoring tagging tasks at scale across petabytes of vehicle log data • Build and maintain data engineering pipelines that organize, structure, and catalog tagged scenario data into the observations database • Own CI/CD for the Auto Tagger pipeline using GitHub Actions • Write production-grade Python code across data ingestion, transformation, model integration, and deployment • Build and operate on Databricks for large-scale data processing, interactive querying, and pipeline orchestration • Design, deploy, and scale AWS infrastructure as code for high-volume, distributed vehicle-log processing • Instrument pipelines with logging, metrics, and alerting; own on-call response for tagging failures and data-quality regressions • Partner with ML engineers to move tagging and classification models into scalable, monitored production pipelines • Ensure data quality and metadata integrity in the observations database • Troubleshoot and improve pipeline performance, reliability, and cost as data volume and model complexity grow

🎯 Requisitos

• BS or MS in Computer Science, Engineering, or a related field, with 5+ years of software engineering experience, including production data pipeline or ML infrastructure work • Strong Python skills and experience building and maintaining production data or ML pipelines • Hands-on CI/CD experience; GitHub Actions required • Required experience with Databricks for large-scale data processing and orchestration • Required experience with AWS, including infrastructure as code using Terraform or CloudFormation • Experience processing large-scale time-series or unstructured datasets • Experience with observability tooling such as Datadog, Grafana, or CloudWatch • Experience integrating and deploying ML models into production systems, including serving, monitoring, and rollback • Strong communication skills to work across ML, perception, and simulation teams • Bonus: familiarity with auto-labeling pipelines, VLMs, zero-shot classification, Ray, Spark, Daft, ROS bags, MCAP, Parquet, Arrow, vLLM, SGLang, or Pegasus layers

🏖️ Benefícios

• A competitive compensation package that includes a bonus component and stock options • 100% paid medical, dental, and vision premiums for full-time employees • 401K plan with a 6% employer match • Flexibility in schedule and generous paid vacation (available immediately after start date) • Company-wide holiday office closures • AD+D and Life Insurance • Potential sign-on payments, relocation, and other forms of compensation depending on the position offered