Senior Data Engineer
Toyota Research Instituteover 1 year ago
Los Altos, CA, USASenior
Base Salary
$180k - $259k/yr
Responsibilities
- Design and implement 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 datasets.
- Collaborate with ML researchers, autonomy engineers, and data scientists on schemas and APIs supporting model training, evaluation, and debugging.
- Develop and maintain feature stores, metadata systems, and versioning infrastructure for structured and unstructured data.
- Integrate synthetic datasets with real-world logs for hybrid training and simulation workflows.
- Optimize pipelines for cost, latency, traceability, reproducibility, and consistency across environments.
- Partner with simulation and cloud platform teams to automate closed-loop testing, scenario mining, and performance analytics.
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 machine learning environments.
- Proficiency in Python and SQL, with familiarity with C++.
- Experience designing ETL pipelines using modern frameworks such as Apache Spark, Flyte, or Union.
- Strong knowledge of cloud-native architectures, including AWS services such as S3 or equivalent Google Cloud Platform services.
- Familiarity with camera, lidar, radar, and GPS/IMU sensor data and serialization formats such as protobuf, ROS2bag, and MCAP.
- Deep understanding of data quality, observability, and lineage in high-volume systems.
- Track record of building reliable, performant infrastructure for ad-hoc exploration and repeatable production workflows.
- Experience with AD/ADAS, robotics, autonomous systems, perception or planning datasets, ML pipeline orchestration, temporal or spatial data, synthetic data, simulation logging, or scenario replay is preferred.
- Strong software engineering fundamentals and experience with testing, code review, service deployment, and distributed cross-functional collaboration are preferred.
- Applicants are asked to include relevant open-source contributions or technical project write-ups.
Benefits
- Medical, dental, and vision insurance.
- 401(k) eligibility.
- Paid time off, including vacation, sick time, and parental leave.
- Annual cash bonus structure.
- Equal employment opportunity and an inclusive, collaborative work environment.
Categories
Data Engineering
About Toyota Research Institute
Toyota Research Institute (TRI) is Toyota’s U.S.-based R&D subsidiary building AI, robotics, and automated driving technologies for future Toyota vehicles and mobility products. It also conducts materials discovery for batteries and hydrogen fuel cells and develops assistive home robotics. Founded in 2016 and headquartered in Los Altos, California, TRI delivers research, software, and prototypes that feed Toyota’s product roadmaps through close collaboration with internal teams and external research partners.