Woven by Toyota

Automotive

DataAcquisitionEngineering-DataInfrastructure,AD/ADAS

$12000–18000k ~AI est. Tokyo, Japan Employee Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Acquisition Engineering - Data Infrastructure, AD/ADAS at Woven by Toyota. Skills: Data Acquisition, Data Infrastructure, Cloud Engineering, AD/ADAS. Design data ingestion systems. Build data ingestion systems”

What You'll Achieve.

Zero accidents; Enhanced well-being

Industry & Context.

Automotive
Problems you'll solve

Troubleshooting

What They're Looking For.

Must Have

Bachelor's degree in Computer Science, 5+ years software engineering, 3+ years data-intensive applications, 3+ years data platforms experience, Business-level English proficiency

Nice to Have

2+ years Python code, 2+ years Golang code, 2+ years Java code, Terraform experience, Docker experience, Cloud-native technologies experience, Networking experience, Kubernetes experience, Multi-region systems experience, Multi-cloud systems experience, Fast-paced environment experience, Data governance experience, Data privacy experience, Security experience

What You'll Do.

Design data ingestion systems

Build data ingestion systems

Maintain data ingestion systems

Optimize data ingestion systems

Support data ingestion systems

Design data storage systems

Build data storage systems

Maintain data storage systems

Optimize data storage systems

Support data storage systems

Design data processing systems

Build data processing systems

Maintain data processing systems

Optimize data processing systems

Support data processing systems

Design data serving systems

Build data serving systems

Maintain data serving systems

Optimize data serving systems

Support data serving systems

Understand ML data requirements

Tailor data ecosystem

Create innovative solutions

Mentor junior engineers

Contribute to system strategy

Contribute to product strategy

How You'll Work.

Team & Collaboration

Data Infrastructure engineers; Site Reliability engineers; ML Platform engineers; Computer Vision engineers; ML engineers

Communication Scope

Business-level English

Full Job Description

## Description 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. ========================================================================= ## TEAM Our Cloud and Data Engineering organization is working on accelerating autonomous driving by providing access to petabytes of data collected from our large fleet of autonomous and non-autonomous vehicles. Efficient, fast and cost-effective access to data at large scale is key to tackle the hardest problems in AD/ADAS, from developing the Machine Learning (ML) models for perception and prediction of human driving patterns, to increasing the sophistication of our validation and simulation by identifying rare and interesting real-world driving situations. The Lakehouse ingestion platform developed by the Data Acquisition Engineering team is a fundamental building block for developing and testing modern AD/ADAS products that will impact millions of customers. The primary goal of our Lakehouse system and Fleetnik mobile app is to seamlessly ingest, enrich, and monitor fleet vehicle data as it flows into the cloud. Our pipelines are based on industry standard frameworks deployed to AWS. We engineer large-scale data acquisition pipelines that process hundreds of terabytes daily from numerou

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