Job Title

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.TeamOur data platform team is working on accelerating autonomous driving by providing access to petabytes of data collected by our 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 data ecosystem developed by the London team is a key building block for developing and testing modern AD/ADAS products that will impact millions of customers.Our ML and Data pipelines are built on-top of the open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and Elasticsearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. We are a distributed team, working in the UK and US.Who are we looking for?The AD/ADAS Data Search team is looking for engineers who are passionate about and enable the next generation of automotive software development. The right candidate will have excellent communication skills, solid coding skills, broad knowledge of software development across areas such as Data Infrastructure and Warehouses, Data Ingestion, Compute Frameworks and Observability.Responsibilities:Work on high-impact projects and innovate new solutions to problems in the self-driving spaceWork with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving spaceUnderstand the complex data requirements of modern ML development and tailor our data ecosystem to these needsDesign and implementation of new solutions that increase the usage and the impact of data for AD/ADAS developmentWork on distributed systems that serve,process and transform large quantities of data in the cloudMinimum Qualifications:Experience with Python (or other Object Oriented language)Experience building reliable, distributed applications for Data Processing or similar areasHands-on experience developing cloud applications (e.g. AWS, GCP, Azure)Experience with technologies like BigQuery and SnowFlakePreferred Qualifications:Experience writing testable and modular code Experience working in a fast-paced environment, collaborating across teams and disciplinesExperience designing, deploying, and maintaining distributed systemsData pipelines, data platforms, workflow orchestration, batch processingExperience on building ML pipelinesWhat We OfferWe are committed to creating a modern work environment that supports our employees and their loved ones. We offer many options of the best programs to allow you to do your most meaningful work and to help you shape the future of mobility.・Excellent health, wellness, dental and vision coverage・A rewarding pension・Flexible vacation policy・Family planning and care benefitsOur 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.