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About the Role

We are seeking a Lead Engineer to drive the multi-year roadmap, architecture, and technical strategy for World Understanding software components. This role focuses on accelerating the adoption of data-driven and deep learning methodologies to enhance autonomous driving capabilities, safety, and performance through advanced ML system design.

Responsibilities

• Drive the technical vision and multi-year strategy for World Understanding software including perception, mapping, and fusion.
• Lead project execution, define engineering processes, and mitigate technical risks.
• Collaborate with cross-functional teams to drive innovation and ensure seamless system integration.
• Develop state-of-the-art models for various sensor configurations.
• Increase speed and cost-efficiency of component and system-level model iteration.
• Incorporate data-driven approaches to improve system performance and safety.
• Maintain functional architecture design and lead technical design reviews.
• Drive organizational metrics regarding performance, safety, and quality.
• Maintain external presence through papers, patents, and presentations.
• Partner with other Lead Engineers to solve high-impact cross-functional issues.
• Mentor and support engineers through code reviews and knowledge sharing.
• Design reusable software components for integrated systems.
• Uphold software practices including simulation, CI, code review, and HIL/in-vehicle testing.
• Build validation strategies to resolve complex interactions and evaluate design tradeoffs.

Requirements

• 10+ years of professional experience with machine learning applications or applied science.
• Deep expertise in ML algorithms, frameworks, and data-driven methods.
• Experience with supervised/unsupervised learning, multi-modality, multi-task training, and temporal/sequential modeling.
• Experience deploying ML models at scale.
• Strong R&D potential in algorithm design and large-scale complex systems architecture.
• Experience with requirements-driven development.
• Experience with code quality and system safety processes for production code.
• Practical understanding of real-time system development, performance issues, and testing modalities.
• Ability to lead in a globally distributed team.
• Excellent communication and collaboration skills.

Skills

• Machine Learning
• C++
• Python
• Deep Learning Frameworks
• System Architecture
• Data-driven Validation
• Temporal/Sequential Modeling
• Multi-modality Learning
• Real-time System Development

Work Type

• Full-time

Experience Level

• 10+ years

Education Level

• MS or PhD in Machine Learning, Mechanical, Electrical, Computer, Aerospace Engineering, or similar

Salary/Compensations

• Competitive salary based on experience

Benefits

• Flexible working hours
• 20 days paid holiday per year
• 6 days sick leave per year
• Japanese Social Insurance
• Housing allowance
• Retirement benefits
• Rental car support
• In-house training programs

About the Company

• Woven by Toyota is enabling Toyota’s transformation into a mobility company.
• Focuses on AD/ADAS, Arene software platform, Woven City, and Cloud & AI.
• Mission is to challenge the state of mobility through human-centric innovation.

Equal Opportunity

• We are an equal opportunity employer and value diversity.