Senior Data Engineer

Toyota Research Institute (TRI) is seeking a Senior Data Engineer to build the foundational data infrastructure and tools that power their autonomy research and development workflows. This role will involve designing and implementing scalable data pipelines, building internal tools for data labeling and curation, and collaborating with ML researchers and engineers to enable model training and evaluation. TRI is dedicated to improving the quality of human life through advancements in mobility.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 8+ years of experience building data-intensive software systems, ideally in robotics, autonomous driving, or large-scale ML environments.
• Proficient in Python, SQL, and familiar with C++.
• Experience designing ETL pipelines using modern frameworks (e.g., Apache Spark, Flyte, Union).
• Strong knowledge of cloud-native architectures, including AWS services (e.g., S3, or equivalents (Google Cloud platform)).
• Familiarity with sensor data types (camera, lidar, radar, GPS/IMU) and common data serialization formats (e.g., protobuf. ROS2bag, MCAP).
• Deep understanding of data quality, observability, and lineage in high-volume systems.
• Track record of building reliable and performant infrastructure that supports both ad-hoc exploration and repeatable production workflows.

Benefits

• 401(k) eligibility
• Paid time off benefits
• Vacation
• Sick time
• Parental leave
• Annual cash bonus structure