Torc Robotics
Software Engineer, II - Autonomy Data
About this role
Torc is seeking a Software Engineer II specializing in autonomy data infrastructure to design and build pipelines that process high-bandwidth sensor logs from autonomous trucks into curated datasets for AI model training. This high-impact role on a lean team involves managing data lakes, implementing ingestion systems, and creating visualization tools that enable perception and planning engineers to develop autonomous driving software.
What you'll do
- Design and maintain data lake architecture including schema definitions, partitioning strategies, and metadata indexing for autonomous vehicle sensor data
- Build end-to-end ingestion pipelines that reliably transfer high-bandwidth sensor logs from vehicles to cloud storage with fault tolerance
- Implement data validation checks to detect corruption, missing sensors, and calibration inconsistencies before downstream processing
- Develop tooling for querying raw logs to produce curated training and evaluation datasets, plus automation for pseudo-labeling workflows
- Deploy and maintain data visualization tools for log review, annotation QA, and autonomy debugging with custom integrations
- Establish data contracts and collaborate with perception, planning, and embedded engineers across the data lifecycle
What they're looking for
- Python and SQL for production-quality data pipeline development
- AWS cloud infrastructure (S3, Glue, Athena, Redshift) or equivalents
- Infrastructure-as-code tools (Terraform, CloudFormation)
- Data partitioning strategies and columnar storage formats (Parquet, ORC)
- Sensor data processing and handling high-bandwidth ingestion
- Data validation and quality assurance frameworks
- Dashboard and visualization tool development
- Cross-functional collaboration and technical communication
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Torc Robotics
Torc Robotics develops autonomous driving software and systems for trucks. The company is hiring systems engineers, software engineers, and test automation specialists to build validation frameworks, integration environments, and web applications that ensure the reliability and quality of their autonomous vehicle technology.
- Website
- torcrobotics.com
Likely interview questions
- Describe your experience building production data pipelines at scale—what was the largest volume of data you've processed and what challenges did you encounter?
- How have you approached designing data schemas and partitioning strategies for time-series or sensor data?