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Head Engineer, Automated Driving

Listing for: ResumeXrays LLC
Full Time position Listed on 2026-11-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Robotics, Software Architect
Salary/Wage Range or Industry Benchmark: 189000 - 311000 USD Yearly USD 189000.00 311000.00 YEAR

Job Description & How to Apply Below

Woven by Toyota is enabling Toyota’s once-in-a-century transformation into a mobility company. Inspired by a legacy of innovating for the benefit of others, our mission is to challenge the current state of mobility through human-centric innovation — expanding what “mobility” means and how it serves society.

Our work centers on four pillars: AD/ADAS, our autonomous driving and advanced driver assist technologies;
Arene, our software development platform for software-defined vehicles;
Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal: a world with zero accidents and enhanced well-being for all.

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, tool chains, 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.

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