Head Engineer - Automated Driving

TEAM

Woven by Toyota's Automated Driving organization is developing the core algorithms for safe and robust driving of complex and uncertain real-world environments and the data flywheel that powers rapid iteration. Our teams are contributing to next-generation autonomy and Automated Driving active safety systems through core algorithms, data-driven approaches, and efficient architectures.

WHO ARE WE LOOKING FOR?

We are seeking a head engineer to work hand-in-hand with the Head of Automated Driving. This role is pivotal in solving deep technical challenges, driving technical alignment across teams, and harmonizing the ML stack with the data flywheel to accelerate the vision of zero accidents.  

You will amplify the Head of Automated Driving, steering engineering teams toward a unified technical direction, supporting cross-functional problem-solving, and ensuring technical rigor at every stage. The ideal candidate will possess strong technical expertise in autonomy, robotics, and data-driven application development. Autonomy, robotics, and data-driven application development. Proven leadership and communication skills are critical for this role. We are looking for someone who can mentor tech leads, influence, and collaborate with diverse stakeholders, including TMC, in identifying deep technical challenges, developing solutions, and executing on the delivery of our autonomy mission.

RESPONSIBILITIES:

Develop a long-term technical strategy for data-driven infrastructure and automated driving stack with the leadership team. This also includes amplifying the Head of Automated Driving in collaboration with executive leadership and Toyota Motor Corporation.  

Lead cross-functional lead engineers to identify complex technical challenges, develop robust solutions, and guide execution toward a unified, data-driven automated driving stack.

Lead resolution of complex, cross-functional team technical challenges related to autonomy stack development, data search/curation, machine learning training pipelines, triage and evaluation workflows.

Integrally involved with shaping and driving adoption of common development standards, toolchains, and ML stacks across autonomy teams.

Champion best practices in data-driven development, code quality, design review process,  real-world validation, model interpretability, etc. 

Embed a “safety-critical first” mindset across all technical activities, ensuring that safety, quality, and reliability are foundational to design, particularly with cutting-edge Automated Driving

Help to define technical KPIs and ensure that engineering decisions are grounded in measurable progress toward 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, fostering a culture of technical excellence and high accountability through hands-on coding, peer reviews, and design reviews.

MINIMUM QUALIFICATIONS

10+ years of professional experience in data-driven software development, robotics, or 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 in leading and facilitating cross-functional teams and engineers in complex technical discussions, identifying technical blockers and solutions and steering them toward a common goal. 

Prior experience in deploying software in Automated Driving products, designing scalable architectures, and leading end-to-end system integrations.

Experience in driving code quality and systems safety processes for production code delivery, with expertise in real-time system development, large-scale data handling, and robust model validation.

Strong leadership presence, excellent communication skills, a skilled collaborator, and a bias toward action and outcomes.

Preferred: patents or technical contributions in machine learning, robotics, or autonomy fields.

Deep understanding of real-time operating systems, non-functional requirements, and trade-offs

Thrive in ambiguity, embrace the challenge of achieving the company’s mission, and influence a diverse set of stakeholders toward a common goal of delivering the best-in-class products to end users and customers.