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About Woven by Toyota 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…
Design, train, and optimize deep learning models for object detection, tracking, and activity recognition on Woven by Toyota's Digital Twin Platform using PyTorch/TensorFlow in industrial/logistics environments.
Develop and evaluate in-cabin perception software (driver monitoring systems) using C++, Python, and MATLAB/Simulink for mass-produced automotive safety systems at Woven by Toyota, collaborating with Toyota and suppliers in Japanese.
The Embedded Software Engineer will develop HMI and driver-assist software for passenger vehicles, focusing on robust, mass-production quality code. The role involves collaborating with cross-functional teams to define requirements and build toolchains for ADAS systems using C/C++.
Leads a data engineering team to design, optimize, and deploy large-scale data pipelines and ML models for autonomous driving and ADAS systems, focusing on perception and planning technologies using Toyota’s fleet data.
Designs embedded software architecture for AD/ADAS systems, balancing functional requirements, hardware constraints, and resource optimization to build robust automotive software.
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…
Build and deploy perception foundation models for autonomous vehicles, fusing multimodal sensor data to improve 3D scene understanding and safety in Toyota’s mobility systems.
Builds embedded C++ SDK components for a software-defined vehicle platform, enabling hardware-agnostic interactions with automotive systems.
Build a next-gen automotive software platform using modern C++ to enable safer, faster vehicle development and deployment for Toyota’s mobility innovations.
Build and deploy ML-based optimization engines to control EV charging/discharging, minimizing household energy costs while integrating with energy and vehicle systems.
Develop robust AD/ADAS software for automated driving systems, integrating sensors, path planning, and motion control to enhance vehicle safety and reliability.
Designs the customer-facing experience for a new energy-management product that links EVs, homes, and electricity plans, turning complex energy tech into simple, trustworthy interactions.
Senior engineer defining and verifying safety requirements for autonomous-driving software, ensuring ISO 26262 compliance and zero-accident production intent in AD/ADAS systems.
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