
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.
🕒 Agosto 5
⚔️ Virginia – Remoto
💵 $139.000 - $166.800 / ano
⏰ Tempo Integral
🟢 Júnior
🟡 Pleno
🧑💻 Engenheiro Full-stack
🦅 Patrocina Visto H1B
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

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.
• Contribute to the design and organization of the autonomy program’s data lake, including schema definitions, partitioning strategy, and metadata indexing • Build and maintain reliable end-to-end pipelines ingesting high-bandwidth vehicle sensor logs into cloud storage • Implement data validation and integrity checks for corrupted information, missing sensors, and inconsistent calibration • Implement data retention, tiering, and lifecycle policies • Build tooling to query raw logs and produce curated training and evaluation datasets • Automate cost-effective pseudo-labeling workflows at ingest scale • Implement data quality and model performance metrics to direct labeling effort • Deploy and maintain visualization tooling for log review, annotation QA, and autonomy debugging • Integrate visualization tooling with the data lake to connect dataset entries or model failures to source logs • Define visualization panels and metrics with autonomy engineers • Build dashboards showing data coverage by terrain, operating environment, and geographic region • Establish and document data contracts between data services and model-training consumers • Partner with perception, planning, and embedded engineers across the data lifecycle • Help evolve data engineering standards, best practices, and tooling choices • Contribute to the data roadmap and surface findings to senior technical leadership
• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, or a related field with 4+ years of data engineering experience, or a Master’s with 2+ years • Strong proficiency in Python and SQL • Ability to build production-quality data pipelines • Experience with cloud data infrastructure, preferably AWS S3, Glue, Athena, Redshift, or equivalent • Experience with infrastructure-as-code tools such as Terraform or CloudFormation • Understanding of data partitioning strategies and columnar storage formats such as Parquet and ORC • Experience building and operating pipelines processing time-series and binary data • Ability to evaluate and integrate open-source tooling • Experience implementing monitoring, validation, data quality, and lineage tracking • Only U.S. citizens are eligible for this role • Bonus: experience with autonomous vehicles, robotics, or sensor-driven autonomous systems • Bonus: deep experience with Foxglove or Rerun • Bonus: familiarity with MCAP CLI or Python library and MCAP-to-columnar conversion • Bonus: experience with ML data curation, diversity sampling, pseudo-labeling, and dataset versioning
• 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 as part of the total compensation package
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