Torc Robotics
Software Engineer II - Fleet Enablement & Insights
About this role
Torc is seeking a Software Engineer II for its Fleet Enablement & Insights team to design and build data systems and tooling that optimize autonomous truck data collection operations. You'll work across data pipelines, metrics dashboards, and geospatial tooling while collaborating with fleet operations and machine learning teams to ensure high-quality training data for the autonomous platform.
What you'll do
- Design and maintain Python-based tools and services for fleet data-collection planning, metrics, and data-readiness workflows
- Build internal tooling to automate route prioritization, asset tracking, data ingestion, validation, and release processes
- Develop fleet and data-collection metrics and display them in live dashboards for real-time mission monitoring
- Manage relational and spatial databases ensuring data integrity, performance, and scalability
- Deploy scalable data pipelines using AWS services (S3, Lambda, ECS, RDS) and Databricks
- Collaborate with Fleet Operations, Mapping, Perception, and Localization teams to align data-collection with downstream requirements
What they're looking for
- Python (production-quality development)
- SQL (querying, transforming, analyzing relational and analytical data)
- C++ and/or TypeScript
- AWS cloud services (S3, Lambda, ECS, RDS)
- Databricks
- Relational and spatial database design and management
- Data pipeline architecture
- Geospatial and simulation tools
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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 and optimizing production data pipelines; what challenges did you face and how did you address them?
- How have you designed metrics or dashboards that helped teams identify and resolve issues in real time?