Woven by Toyota is accelerating Toyota’s transformation into a mobility company through human-centric innovation. Our mission is to challenge the current state of mobility and to enable a world with zero accidents and enhanced well-being for all, powered by ADAS, software-defined vehicles, and cloud infrastructure. Based in Ann Arbor, Michigan, United States, we operate with a hybrid work arrangement.

Team: The ADAS Simulation and Validation Tools group accelerates the development of advanced driver assistance systems (ADAS) and autonomous driving software by building scalable simulation platforms, cloud infrastructure, and automated testing pipelines. We focus on large-scale data workflows that ingest, transform, and correlate real-world and simulated driving data to power simulation experiments and analytics tools used to improve driving system performance and guide strategic decisions.

Who we’re looking for: We are seeking an experienced backend software engineer with a strong emphasis on data engineering and data analytics. The ideal candidate has experience with large-scale data ETL pipelines and schema design, web services and APIs, cloud infrastructure, and test automation. They will design and deploy cloud-native workflows for large-scale ADAS simulation and evaluation, including analytics applications, test orchestration, and traceability systems. By championing best practices, collaborating with cross-functional teams, and mentoring developers, you will play a key role in building our mission-critical AD/ADAS tools.

Woven by Toyota is accelerating Toyota’s transformation into a mobility company through human-centric innovation. Our mission is to challenge the current state of mobility and to enable a world with zero accidents and enhanced well-being for all, powered by ADAS, software-defined vehicles, and cloud infrastructure. Based in Ann Arbor, Michigan, United States, we operate with a hybrid work arrangement.

Team: The ADAS Simulation and Validation Tools group accelerates the development of advanced driver assistance systems (ADAS) and autonomous driving software by building scalable simulation platforms, cloud infrastructure, and automated testing pipelines. We focus on large-scale data workflows that ingest, transform, and correlate real-world and simulated driving data to power simulation experiments and analytics tools used to improve driving system performance and guide strategic decisions.

Who we’re looking for: We are seeking an experienced backend software engineer with a strong emphasis on data engineering and data analytics. The ideal candidate has experience with large-scale data ETL pipelines and schema design, web services and APIs, cloud infrastructure, and test automation. They will design and deploy cloud-native workflows for large-scale ADAS simulation and evaluation, including analytics applications, test orchestration, and traceability systems. By championing best practices, collaborating with cross-functional teams, and mentoring developers, you will play a key role in building our mission-critical AD/ADAS tools.