At Woven by Toyota, we’re bringing people, mobility technologies and infrastructure together to shape the future of movement.
About the role
Contribute to building and optimizing end-to-end data pipelines that ingest real vehicle data and localize it against HD maps. Learn to build and maintain workflow orchestration for long-running production jobs, focusing on reliability and efficiency.
What they're looking for
- Bachelor's degree in Computer Science, Engineering, or a related field (MS/PhD preferred but not required), or equivalent practical experience
- 3+ years of professional software development experience building backend services and data pipelines
- Strong proficiency in Python and basic knowledge of SQL
- Strong problem-solving ability and an eager, growth-oriented mindset
- Proficiency with Git for version control in a collaborative, review-based workflow
- Experience with cloud infrastructure, with a preference for AWS, plus Docker and CI/CD systems such as GitHub Actions
More about this role
Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.
Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.
The Data & Labeling Services (DLS) team within AD/ADAS at Woven by Toyota generates, validates, and delivers structured, high-quality offline perception and map data. This data supports autonomy development, evaluation, and training through efficient auto-labeling, rigorous quality assurance, and actionable data science insights. The candidate will join the Label Production team and collaborate closely with...
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