Data Platform, Senior Software Engineer, Enterprise AI
Tokyo
Product & Technology – Cloud & AI /
Employee /
Hybrid
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 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.
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TEAM
The Enterprise AI team is dedicated to empowering Toyota and its affiliates with a robust platform for AI innovation. Our mission is to provide a comprehensive, end-to-end machine learning ecosystem that propels the development of groundbreaking projects, such as autonomous driving, within the Toyota Group. As a standardized machine learning platform under Woven by Toyota, we aim to streamline every facet of AI development, from training and inference to MLOps, thereby enhancing the safety, convenience, and autonomy of Toyota vehicles.
Within this dynamic environment, the Data Annotation and Labeling Engineering team plays a pivotal role. We design and implement scalable, globally distributed data delivery solutions tailored for Toyota and its partners. Our team is at the forefront of developing both human-assisted and automated data labeling services, and we engage collaboratively across various model development and AI solution initiatives. Through these efforts, we ensure that data is not only accessible but also actionable, driving innovation and efficiency across the enterprise.
WHO ARE WE LOOKING FOR?
As the Senior Software Engineer in the Data Annotation and Labeling team you will help scale our data platform with throughput, stability and new features to bring the platform to a wider range of customers. You have a seasoned technical background with strong knowledge in high-performance computing, experience managing large data sets, and software engineering/development.. You will collaborate with our engineering teams and operation teams to improve our products and services.
RESPONSIBILITIES
- Solve complex problems, deliver state of the art solutions
- Build and maintain high-quality product and development standards with the team
- Support for architectural design and execution planning to ensure stable service delivery
- Foster a collaborative environment
- Work with stakeholders (product managers, customers, and operations) to align on deliverables
- Work with other teams to maximize infrastructure usage and build efficient solutions for complex tasks
- Provide support such as analysis and monitoring, and act as part of the team for on-call responsibility for production incidents
- Report to the function head of Data Annotation and Labeling
- Come to the office 3 days per week, following our hybrid work policy
MINIMUM QUALIFICATIONS
- 5+ years of experience with software development in one or more programming languages commonly used in the AI/ML industry, such as Python (preferred).
- 2+ years of experience with distributed and/or parallel systems.
- Strong understanding of SDLC, Software Engineering, and optimization
- Technical leadership
- Business-level proficiency in English.
NICE TO HAVES
- Open source software contribution
- Experience with large Datasets and inferencing them preferably in binary formats, such as Image or Point Cloud data
- Advanced knowledge in training or fine-tuning image-based models
- Experience with massively parallel computing for general-purpose, or SIMD
- Experience with a high-performance computing cluster
- Ability to create clear and comprehensive documentation
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field
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Important Points
・All interviews will be arranged via Google Meet, unless otherwise stated.
・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.
・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.
WHAT WE OFFER
・Competitive Salary - Based on experience
・Work Hours - Flexible working time
・Paid Holiday - 20 days per year (prorated)
・Sick Leave - 6 days per year (prorated)
・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company
・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)
Our Commitment
・We are an equal opportunity employer and value diversity.
・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.
