Senior, Software Engineer - Data Pipeline

About the Company  

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.  

Meet The Team:   

Torc’s Data Production team is a core enabler of our AV3.0 strategy. The team builds and operates the high‑scale data pipelines that transform raw multimodal sensor logs into structured, training‑ready datasets for machine learning, simulation, autonomy development, analytics, and system validation. We collaborate across vehicle integration, data collection, data systems, perception, ML, and release engineering to operationalize the full data loop that powers Torc’s autonomous‑driving stack. 

What You’ll Do:   

• Design and develop high‑performance data converters for multi‑sensor autonomous‑driving data (camera, lidar, radar), ensuring accurate time alignment and robust handling of raw sensor logs.
• Design, build, and optimize large‑scale ingestion and transformation pipelines (ETL/ELT) capable of processing petabyte‑scale autonomous‑driving sensor data, and automate them for reliable, production‑grade deployment.
• Work with data formats such as ROS bags, MCAP, and custom binary encodings; establish standards for schema evolution and metadata integrity.
• Implement automated data validation, quality checks, and lineage tracking to ensure reliability of production datasets.
• Collaborate closely with ML, annotation, simulation, and perception teams to ensure cross‑team ownership of data products and deliver datasets that are consistent, semantically correct, and ready for downstream consumption.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation.  

What You’ll Need to Succeed:   

• Bachelor's or Master's degree in STEM related field with 5+ years of working experience with cloud technologies & data operations. 
• Experience building or maintaining converters, decoders, or transformation pipelines for sensor‑rich data (e.g., lidar point clouds, camera streams, radar detections).
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