Senior Data Engineer, Large Behavior Models
Hybrid (Los Altos, CA)$180k - $258.8kFull-timePosted 11mo ago
About the role
Senior Data Engineer to design and build foundational data infrastructure and tools powering autonomy research and development, including data ingestion pipelines, feature stores, labeling infra, scene search, data discovery, and performance diagnostics for ML and simulation workflows.
Responsibilities
- Design and implement scalable, production-grade pipelines for data ingestion, transformation, storage, and retrieval from vehicle fleets and simulation environments.
- Build internal tools and services for data labeling, curation, indexing, and cataloging across large and diverse datasets.
- Collaborate with ML researchers, autonomy engineers, and data scientists to design schemas and APIs that power model training, evaluation, and debugging.
- Develop and maintain feature stores, metadata systems, and versioning infrastructure for structured and unstructured data.
- Support the generation and integration of synthetic datasets with real-world logs to enable hybrid training and simulation workflows.
- Optimize pipelines for cost, latency, and traceability, ensuring reproducibility and consistency across environments.
- Partner with simulation and cloud platform teams to automate workflows for closed-loop testing, scenario mining, and performance analytics.
Qualifications
- 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.
Skills
Required:Data pipeline design and engineeringETL frameworksFeature stores and metadata systemsPythonSQL
Nice to have:C++
Benefits
- medical, dental, and vision insurance
- 401(k) eligibility
- paid time off benefits (including vacation, sick time, and parental leave)
- annual cash bonus structure
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Toyota Research Institute
Pursuing automated driving solutions that are safe, scalable, and inclusive
Toyota Research Institute (TRI) envisions a future where Toyota products, enabled by TRI technology, dramatically improve quality of life for individuals and society.
Automated DrivingEnergy & MaterialsHuman-Centered AIHuman Interactive DrivingLarge Behavior ModelsRobotics
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