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Head Engineer – Automated Driving
Woven by Toyota. Develop a long-term technical strategy for data-driven infrastructure and the automated driving stack with the leadership team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing data-driven infrastructure and automated driving systems, with a strong focus on machine learning, system safety, and scalable architecture. Proven ability to lead cross-functional teams, mentor engineers, and drive adoption of best practices in software development.
Highest-signal resume keywords
Data-Driven Software DevelopmentMachine Learning OperationsAutomated Driving SystemsCross-Functional Team LeadershipReal-Time System Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Machine LearningData OperationsBig Data InfrastructureScalable Architecture DesignCode Quality ProcessesSystem Safety ProcessesReal-Time Operating SystemsModel ValidationEnd-to-End System IntegrationTechnical KPI Definition
Soft Skills
Strong Leadership PresenceExcellent Communication SkillsSkilled CollaborationBias Toward ActionAbility to Thrive in Ambiguity
Industry Keywords
Safety-Critical SystemsAutomated Driving ProductsData-Driven DevelopmentTechnical Decision-MakingRobotics
Tech Stack
Tools & technologiesCloud
About the role
Key responsibilities & impact- Develop a long-term technical strategy for data-driven infrastructure and the automated driving stack with the leadership team
- Amplify the Head of Automated Driving in collaboration with executive leadership and Toyota Motor Corporation
- Lead cross-functional lead engineers in identifying complex technical challenges, developing robust solutions, and guiding execution toward a unified, data-driven automated driving stack
- Lead resolution of technical challenges related to autonomy stack development, data search and curation, machine learning training pipelines, triage, and evaluation workflows
- Shape and drive adoption of common development standards, toolchains, and ML stacks across autonomy teams
- Champion best practices in data-driven development, code quality, design reviews, real-world validation, and model interpretability
- Embed a safety-critical-first mindset across technical activities
- Define technical KPIs and ensure engineering decisions support measurable progress in system safety, performance, and scalability
- Represent the Head of Automated Driving in technical decision-making forums, reviews, and external engagements when required
- Mentor and coach engineers through hands-on coding, peer reviews, and design reviews
Requirements
What you’ll need- 10+ years of professional experience in data-driven software development, robotics, autonomy, or safety-critical systems
- Deep understanding of ML and Data operations
- Experience with big data and cost-efficient data flywheel infrastructures based on cloud or on-prem devices
- Extensive experience leading and facilitating cross-functional teams and engineers in complex technical discussions
- Prior experience deploying software in Automated Driving products
- Experience designing scalable architectures and leading end-to-end system integrations
- Experience driving code quality and systems safety processes for production code delivery
- Expertise in real-time system development, large-scale data handling, and robust model validation
- Strong leadership presence, excellent communication skills, skilled collaboration, and bias toward action and outcomes
- Deep understanding of real-time operating systems, non-functional requirements, and trade-offs
- Ability to thrive in ambiguity and influence diverse stakeholders toward a common goal
- Preferred: patents or technical contributions in machine learning, robotics, or autonomy fields
Benefits
Comp & perks- Excellent health, wellness, dental and vision coverage
- A rewarding 401k program
- Flexible vacation policy
- Family planning and care benefits
- Short term and long term incentives
- Comprehensive benefits package