Woven by Toyota
AD/ADAS
SoftwareEngineer-DataInfrastructure
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer - Data Infrastructure at Woven by Toyota. Skills: Data Infrastructure, Data Engineering, Cloud Computing, Python. Work on high-impact projects. Innovate new solutions”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Extensive experience in Python, Experience building distributed applications, Working with RPC protocols, Hands-on experience developing cloud applications
Nice to Have
Experience writing testable code, Experience working in fast-paced environment, Collaborating across teams, Experience designing distributed systems, Experience deploying distributed systems, Experience maintaining distributed systems, Data pipelines experience, Data platforms experience, Workflow orchestration experience, Batch processing experience
What You'll Do.
Work on high-impact projects
Innovate new solutions
Work with Computer Vision engineers
Work with Machine Learning engineers
Understand data requirements
Tailor data ecosystem
Build efficient data pipelines
Work on distributed systems
Serve large quantities of data
Process large quantities of data
Transform large quantities of data
How You'll Work.
Team & Collaboration
Distributed team; Across teams and disciplines
Full Job Description
## Description 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 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 a 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 the delivery of robust and correct systems. We are a distributed team, working in the UK and US. Who are we looking for? The London Data Infrastructure team is looking for engineers who
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