Lead Perception Engineer

Woven by Toyota is enabling Toyota’s transformation into a mobility company through human-centric innovation. The Lead Perception Engineer will drive the technical vision and strategy for software components, collaborating with cross-functional teams to enhance vehicle perception and safety capabilities.

Responsibilities:

• Driving the technical vision and multi-year strategy for World Understanding (including perception, mapping, fusion, on-board/off-board) software
• Leading project execution, defining efficient engineering processes, and mitigating risks
• Collaborate with cross-functional teams such as Data, Behavior (Planner/Controller/HMI), Developer Ecosystem, and Product Delivery while influencing technical decisions across the organization to drive innovation, ensure seamless system integration, and improve overall engineering efficiency
• Develop state-of-the-art models to deliver desired driving environments in various sensor configurations
• Increase speed of the component- and system-level model iteration while maintaining cost efficiency
• Incorporate data-driven approaches to improve system performance and unlock new capabilities for safety
• Maintain the functional architecture design and lead review of technical designs
• Drive organizational metrics towards performance, safety, and quality
• Maintain external presence of the department through papers, patents, and presentations
• Assess and mitigate risk to the technical program
• Act in partnership with other Lead Engineers in AD/ADAS to solve high impact cross-functional issues
• Mentor and support engineers, fostering growth through code reviews, knowledge sharing, and collaboration with cross-functional teams to align technical solutions with business goals
• Design reusable software components as part of an integrated system
• Understand and fulfill the software practices that produce maintainable code, including simulation, continuous integration, code review, HIL testing, and in-vehicle testing
• Build component and system level validation strategies that are leveraged to resolve complex interactions between components, increase performance, and evaluate design tradeoffs related to data-driven practices