Head Engineer, Automated Driving

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.

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.