Build and maintain large scale data ingestion, storage, and processing systems for the Arene Vehicle Data Platform, mentoring junior engineers and collaborating with various teams.
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
Arene is a modern software platform that supports the creation, deployment and continuous improvement of software-defined vehicles. Arene consists of tooling, vehicle software, and a data platform to enable rapid development and reuse, while maintaining safety and security.
The Arene Vehicle Data Platform is responsible for ingesting, processing, and providing actual and simulated vehicle data to internal and external customers within the Toyota group with one of the main use-cases being the improvement of AD/ADAS functionalities. Building modern AD/ADAS products requires efficient, fast, and cost-effective access to data at petabyte scale, and we partner with AD/ADAS data infrastructure teams in the UK and US to achieve this goal.
You will report to the Team Lead of the designated team under Arene Vehicle Data, and the role is Onsite.
WHO ARE WE LOOKING FOR?
The Arene Vehicle Data team is looking for engineers who are passionate about building and enhancing a data platform to support the mobility services of the future. The right candidate will have excellent communication skills, solid coding skills, broad knowledge of software engineering in areas such as Data Infrastructure and Warehouses, Data Ingestion, Distributed Databases, Compute Frameworks, and Search.
RESPONSIBILITIES
- Build, and maintain large scale data ingestion, storage, processing, and search systems
- Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs
- Work closely with Data Infrastructure engineers, ML Platform engineers, Computer Vision and ML engineers on high-impact projects to create innovative solutions to problems in the mobility space
- Mentor junior engineers in their day to day work and drive best practices across the organization
MINIMUM QUALIFICATIONS
- Bachelor’s degree in Computer Science or related field
- Experience with cloud-based (e.g. AWS, GCP, Azure) microservice architecture, event-driven, distributed architectures
- 5+ years of experience with Python, Kotlin, C++, Java, or related programming languages
- 3+ years of experience with data platforms, data pipelines, workflow orchestration, batch processing, and/or distributed databases
- Experience in production system management, monitoring, and analysis
- Business-level proficiency in English speaking, reading, and writing
NICE TO HAVES
- 3+ years of experience writing testable, modular code in Python
- Experience with data streaming technologies (AWS Kinesis, Kafka, etc.) and stream processing technologies (Flink, Kafka Streams, Spark, etc.)
- Experience with vector databases
- Experience with data lifecycle products (data catalogs, lineage, governance, etc.)
- Experience with Terraform, Docker, cloud-native technologies, networking and Kubernetes in production
- Business-level proficiency in Japanese speaking, reading, and writing
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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.
Top Skills
AWS
Azure
C++
Docker
Flink
GCP
Java
Kafka
Kotlin
Kubernetes
Python
Spark
Terraform
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