Senior Data Engineer

Toyota Research Institute (TRI) is seeking a Senior Data Engineer to join their Automated Driving Advanced Development division, where innovation meets real-world implementation. This role sits at the intersection of cutting-edge research and practical application, working on a groundbreaking cross-organizational project between TRI and Woven by Toyota to develop a fully end-to-end learned driving stack.

The position offers an exciting opportunity to design and build foundational data infrastructure that powers autonomy research and development workflows. You'll be working with large-scale data pipelines, feature stores, and sophisticated tooling for machine learning and simulation workflows. The role requires expertise in data engineering, with a focus on handling complex sensor data and building robust infrastructure for autonomous systems.

As a Senior Data Engineer, you'll collaborate with ML researchers, autonomy engineers, and data scientists, making direct contributions to the future of autonomous driving technology. The role offers competitive compensation ($180,000-$270,000/year) and comprehensive benefits, including 401(k), vacation time, sick leave, and parental leave.

The ideal candidate brings 8+ years of experience in data-intensive systems, preferably in robotics or autonomous driving environments. Strong technical skills in Python, SQL, and cloud architectures are essential, as is experience with modern ETL frameworks and data serialization formats. You'll be working in a diverse and inclusive environment that values innovation and collaboration, with the opportunity to make a significant impact on the future of mobility technology.

This is an excellent opportunity for a seasoned data engineer who wants to work on challenging problems in autonomous driving, contribute to cutting-edge research, and help build the infrastructure that will power the next generation of autonomous vehicles. The hybrid work environment in Los Altos, CA, offers flexibility while maintaining collaborative opportunities with world-class teams in Automated Driving, Energy & Materials, Human-Centered AI, and Robotics.