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About the Role

The Info Mobility Car team develops driver support features that provide driving suggestions and voice prompts to drivers. We aim to enable safer and more comfortable driving experiences by leveraging in-cabin and external camera images and various vehicle sensor data, with driver “busyness” and state estimation algorithms as our core technology. Working closely with software development teams and simulation-based evaluation teams, we continuously drive performance improvements of these features.

Responsibilities

Design, implement, and enhance ML-based driver workload (busyness) estimation algorithms that take vehicle CAN signals, various in-vehicle sensors, and driver operation logs as time-series inputs
Build and operate training data infrastructure and evaluation pipelines, including label and annotation policy design, data preprocessing, and feature engineering
Investigate and improve logics that combine CAN-based workload indicators with other workload measures, such as surrounding-vehicle information and image/vision-based indicators
Design interfaces and specifications to feed workload estimation results into driving suggestion and voice prompt logic, and continuously improve overall feature performance
Collaborate with software engineers, test engineers, UX members, and other stakeholders to align on requirements and evaluation metrics, and to organize and share experiment results and technical learnings
Participate, as required by projects and business needs, in planning and conducting evaluations using simulators and on-road test vehicles (including business trips), and drive improvement cycles based on real-world findings

Requirements

3+ years of practical experience in software or algorithm development primarily using vehicle CAN signals, in-vehicle sensors, and driver operation logs as time-series data
Practical experience developing algorithms using machine learning, deep learning, and/or statistical modeling
Development experience in Python using major ML/DL frameworks (e.g., PyTorch, TensorFlow)
Ability to independently drive the end-to-end ML development process from data preprocessing and feature design through training and evaluation
Communication skills to work with multiple stakeholders and clearly explain technical topics and evaluation results
Willingness to travel for business purposes as required by project or business needs
Business level Japanese proficiency and conversational level English

Skills

ML-based algorithms
Driver workload estimation
Vehicle CAN signals
In-vehicle sensors
Driver operation logs
Time-series data
Driver state estimation
Vehicle dynamics
Sensor fusion
Machine learning
Deep learning
Statistical modeling
Python
PyTorch
TensorFlow
Feature engineering
ML model deployment
Edge/embedded optimization
Inference pipeline construction
Model operations
Simulators (e.g., Unity)
Signal processing

Location

Susono office

Work Type

Full-time

Experience Level

3+ years of practical experience

Education Level

Bachelor’s degree in computer science, electrical/electronic engineering, control engineering, or a related field, or equivalent practical experience

Salary/Compensations

Competitive Salary - Based on experience

Benefits

Flexible working time
20 days paid holiday per year (prorated)
6 days sick leave per year (prorated)
Sat & Sun, Japanese National Holidays, and other company-defined holidays
Japanese Social Insurance (Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance)
Housing Allowance
Retirement Benefits
Rental Cars Support
In-house Training Program (software study/language study)

About the Company

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.
Toyota is redefining what it means to move. We're challenging the current state of mobility by enhancing the movement of people, goods, information and energy.
Centered around three core concepts - A Living Laboratory™, Human-Centered, and Ever Evolving City™ - Woven City serves as a test course for mobility to fulfill our purpose of well-being for all.
We do this by bringing together a diverse community of people with a shared passion for the future of mobility to co-create, develop and refine innovative products and services.
This cross-section of social infrastructure, mobility, and people provides a unique opportunity for inventors, residents and visitors to interact seamlessly with new technologies throughout daily life in an environment that emulates a real city.

Equal Opportunity

We are an equal opportunity employer and value diversity.
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