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About the Role
Woven by Toyota (WbyT) is driving the delivery of engineering technologies that contribute to the company's business goals. As a strategic partner to WbyT's engineering and product divisions, the AD/ADAS Project & Program Management (PPM) team leads the technical execution of the AD/ADAS portfolio, maintains the organization's Plan of Record, and enhances the speed and agility of a highly cross-functional engineering organization spanning multiple global locations.
Responsibilities
- Manage and drive complex cross-functional programs related to data infrastructure, cloud, and ML platforms.
- Manage program requirements, success metrics, and communications, ensuring alignment with the overall organization and autonomous driving roadmap.
- Create and maintain an integrated Plan of Record spanning sprint, quarterly, and annual planning horizons, establishing clear critical paths towards autonomous driving feature readiness and validation gates.
- Lead cross-functional planning and high-speed execution for the entire Active Learning Loop program, proactively resolving dependencies and blockers, and driving timely, evidence-based decision-making.
- Continuously collaborate with ML Engineering and Data Engineering team leads to ensure necessary capabilities are delivered at the right time.
- Identify and resolve structural challenges in development workflows, and continuously evolve TPM practices while mentoring other TPMs focused on improving autonomous driving development efficiency and validation outcomes.
- Support cloud cost optimization and compute procurement initiatives across the ALL program.
Requirements
- Bachelor's degree or higher in Computer Science, Engineering, or a related technical field.
- 4+ years of project and program management experience in software, automotive, aerospace, robotics, or mobility-related industries.
- Knowledge and experience with the ML development ecosystem, including data pipelines, training workflows, simulation, and offline validation infrastructure.
- Proven track record of successfully completing large, cross-functional programs involving multiple stakeholders.
- Experience driving technical programs with a high degree of ambiguity and a high level of direction in distributed teams and diverse business cultures.
- Experience building and improving program operations and decision-making mechanisms while adapting to team culture and operational constraints.
Skills
- Data pipelines
- ML training
- Simulation
- Validation
- Deployment
- Autonomous driving stack
- Data infrastructure
- Cloud
- ML platforms
- Cross-functional communication
- Data-driven approach
Location
- Global
Work Type
- Full-time
- Hybrid
Experience Level
- Senior
Education Level
- Bachelor's degree
Salary/Compensations
- Industry-standard salary commensurate with experience
Benefits
- Flexible working hours
- Annual paid leave: 20 days (prorated for the first year based on start month)
- Sick leave: 6 days per year (prorated for the first year based on start month)
- Holidays: Saturdays, Sundays, national holidays, and other days designated by the company
- Social insurance: Health insurance, Employees' Pension Insurance, Industrial Accident Insurance, Employment Insurance, Long-Term Care Insurance
- Housing allowance
- Retirement plan
- Rental car support
- In-house training programs (software learning, language learning)
About the Company
- Woven by Toyota contributes to Toyota's once-in-a-century transformation into a mobility company.
- Inspired by a history of inventing for others, our mission is to expand the definition of mobility, enhance its contribution to society, and challenge the status quo with people-centric innovation.
- We operate around four pillars: AD/ADAS (Autonomous Driving/Advanced Driver-Assistance Systems technology), Arene (a vehicle software production platform for SDVs - Software Defined Vehicles), Woven City (a mobility test course), and Cloud & AI (digital infrastructure supporting collaboration platforms).
- Essential business functions support these teams' implementation, and together we strive to realize a 'zero-traffic-casualty society' and 'mass production of happiness'.
Equal Opportunity
- We provide equal employment opportunities and respect diversity.
- Personal information received will be used solely for recruitment and onboarding purposes. Please refer to our Personal Information Policy for details.