Software Engineer - Data Infrastructure


Woven by Toyota

Woven by Toyota will help Toyota to develop next-generation cars and to realize a mobility society in which everyone can move freely, happily and safely.

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Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 

Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.

Our London team is working on accelerating autonomous driving by exploring novel CV/ML solutions on petabytes of data collected from AVs and our own Fleet vehicles. This enables us to tackle some of the hardest problems in self-driving, from understanding human driving patterns, to increasing the sophistication of our simulation tests by having access to rare real-world driving situations. 

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.

The London Data Infrastructure 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 Cloud, Compute Frameworks, MLOps, Observability and Build Infra.


  • Work on high-impact projects and innovate new solutions to problems in the self-driving space
  • Work with Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the self-driving space
  • Build and deploy production-quality ML/CV pipelines and services
  • Develop and operate an ML platform built on our open-source orchestration framework
  • Collaborate with CV/ML teams to build efficient data pipelines for ingestion from the vehicle fleet
  • Work on distributed systems that process and transform large quantities of data in the cloud
  • Mentor junior engineers in their day to day work
  • Design the long term strategy for several of our products


  • Extensive experience in Python (or other Object Oriented language)
  • Experience building concurrent, scalable applications
  • Working with RPC protocols such as gRPC/protobuf
  • Hands-on experience developing cloud applications (e.g. AWS, GCP, Azure)


  • 5+ years of professional software engineering experience
  • Experience writing testable and modular code 
  • Experience working in a fast-paced environment, collaborating across teams and disciplinesExperience designing, deploying, and maintaining distributed systems
  • Data pipelines, workflow orchestration, batch processing
By submitting your application you agree to the following terms:

Our Commitment
・We are an equal opportunity employer and value diversity.
・We pledge that any information we receive from you will be used ONLY for the purpose of hiring assessment.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Autonomous Driving AWS Azure BigQuery Computer Vision Data pipelines Distributed Systems Elasticsearch Engineering GCP Kafka Machine Learning MLOps Pipelines Privacy Python Testing

Region: Europe
Country: United Kingdom
Job stats:  6  0  1
Category: Engineering Jobs

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