Autonomy Engineering Lead

Woven by Toyota; Ann Arbor (MI); On-site; USD 189,000 - 311,000; Full time

Benefits offered by this job

Health coverage

401k program

Vacation policy

Family benefits

Job summary

Woven by Toyota is seeking a head engineer to lead and align the Autonomous Driving organization with focus on data-driven infrastructure and scalable, safe AI-driven solutions. You will work closely with the Head of Automated Driving, mentor tech leads, and coordinate with stakeholders across Toyota to advance our autonomy mission.

You will champion high-quality engineering practices, drive cross-functional problem solving, and ensure safety, reliability, and performance across the stack.

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.

Responsibilities

• Develop a long-term technical strategy for data-driven infrastructure and automated driving stack with the leadership team.
• 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.

Skills

Data-driven software

Robotics

Autonomy

Leadership

ML

Tools

Cloud platforms

Job description

Woven by Toyota is seeking a head engineer to lead and align the Autonomous Driving organization with focus on data-driven infrastructure and scalable, safe AI-driven solutions. You will work closely with the Head of Automated Driving, mentor tech leads, and coordinate with stakeholders across Toyota to advance our autonomy mission.

You will champion high-quality engineering practices, drive cross-functional problem solving, and ensure safety, reliability, and performance across the stack.