Software Engineer - Data Workflows

Woven•Ann Arbor, MI

About The Position

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Our mission is to challenge the current state of mobility through human-centric innovation. Our work centers on four pillars: AD/ADAS, Arene, Woven City, and Cloud & AI. The ADAS Simulation and Validation Tools group accelerates the development of advanced driver assistance systems (ADAS) and autonomous driving (L2–L4) software by building scalable simulation platforms, cloud infrastructure, and automated testing pipelines. Our tools enable global engineering teams to validate complex driving systems efficiently and with confidence. We focus on large-scale data workflows that ingest, transform, and correlate real-world and simulated driving data. This data powers critical simulation experiments and analytics tools used to improve driving system performance and guide strategic decisions. Our team sits at the intersection of simulation, cloud engineering, and data analysis—solving challenges in automation, scalability, and system validation to support cutting-edge vehicle programs.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
3+ years of professional software development experience in backend web services and data pipelines.
Experience with Python in a web and data context
Experience with SQL and data schema design.
Experience with data ingestion and ETL pipelines.
At least 1 year experience with cloud computing (AWS, Microsoft Azure, or Google Cloud)
Familiarity with NoSQL database systems such as DynamoDB.
Strong problem-solving and debugging capabilities.
Strong written and verbal communication skills, including technical designs and documentation.

Nice To Haves

Experience with microservice and serverless cloud architectures.
Experience with performance optimization techniques in various database systems.
Experience with infrastructure as code (e.g., Terraform).

Responsibilities

Build and optimize end-to-end data workflows from collection to user-facing tools
Create efficient data models and automation pipelines for AD/ADAS systems
Develop robust APIs to support data analytics applications
Implement comprehensive testing strategies to ensure application reliability
Communicate technical concepts and data findings effectively to non-technical team members and leadership
Collaborate closely with the Product team and internal customers to optimize workflows and user experience.
Work with other engineers to promote best practices, conduct code reviews, and ensure consistency and quality across the codebase
Write clear technical design documents and system documentation.
Deliver features through the full software lifecycle including requirements gathering, design, implementation, testing, documentation, release, and maintenance.