Woven Planet

Operations

• Design, improve, and optimize end-to-end waste management processes, including collection, transportation, treatment, recycling, and resource recovery for both municipal and industrial waste
• Establish data-driven management systems for waste visualization, traceability, and KPI tracking
• Manage regulatory compliance and permitting related to industrial waste management (e.g., Waste Management and Public Cleansing Act, special controlled industrial waste requirements)
• Lead coordination and relationship management with external contractors, local governments, residents, tenant companies, and factories
• Plan and execute pilot projects for upcycling and resource recovery, and develop new initiatives for waste reduction and circular resource utilization
• Support ESG initiatives and sustainability reporting, including CO₂ reduction metrics, recycling rate improvements, and environmental certifications
• Support environmental PoC activities and resource recycling experiments conducted within Woven City
• Collaborate and align with Toyota Group companies, municipalities, and partner organizations

Waste Management Assistant Manager – Test Course Operations

Full-stack Engineer

• Design, build, maintain, optimize and support large scale, cloud-native data ingestion, data storage, data processing and data serving systems.
• Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs.
• Gain practical experience, working with other Data Infrastructure engineers, Site Reliability engineers, ML Platform engineers, Computer Vision and ML engineers on high-impact projects to create innovative solutions to problems in the self-driving space.

Software Engineering Intern, Data API

• Work on high-impact projects and innovate new solutions to problems in the self-driving space
• Work with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space
• Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs
• Design and implementation of new solutions that increase the usage and the impact of data for AD/ADAS development for ML training and simulation
• Measure and increase the diversity of our data, working closely with our data scientists
• Work on distributed systems that serve, process and transform large quantities of data in the cloud
• Mentor other engineers in the team, set a high bar for engineering excellence
• Shape the technical roadmap of the team, influence and align overall technical strategy with data users in ML development and virtual validation

Waste Management Assistant Manager – Test Course Operations

Software Engineering Intern, Data API

Staff Software Engineer – Data Search