Software Engineer - Data Infrastructure

Woven By Toyota; City of Westminster; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Excellent health & vision coverage

Pension plan

Flexible vacation policy

Family planning benefits

Job summary

Woven By Toyota's London Data Infrastructure team seeks engineers to enable the next generation of automotive software development. You will engage with CV/ML peers, design scalable data platforms, and own critical data pipelines for large-scale vehicle data in the cloud.

The role emphasizes strong Python coding, distributed systems design, and collaboration across UK/US teams, with a focus on robust data processing and testing practices.

Qualifications

• 5+ years of professional software engineering experience.
• Hands-on experience developing cloud applications (AWS, GCP, Azure).
• Experience writing testable and modular code.
• Experience building reliable, distributed applications for Data Processing or similar areas.
• Working with RPC protocols such as gRPC/protobuf.
• Extensive experience in Python (or another OO language).

Responsibilities

• Design the long-term strategy for several products.
• Build efficient data pipelines for ingestion from the vehicle fleet.
• Work on distributed systems that serve, process and transform data in the cloud.
• Mentor junior engineers in day-to-day work.

Skills

Python

Distributed systems

Data pipelines

Cloud platforms

gRPC/protobuf

Testing

Mentoring

Cross-team collaboration

Tools

Flyte

BigQuery

ElasticSearch

Kafka

SQS

Job description

• 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.
• Understand the complex data requirements of modern ML development and tailor our data ecosystem to these needs.
• Build efficient data pipelines for ingestion from the vehicle fleet.
• Work on distributed systems that serve, 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

  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 Data Infrastructure and Warehouses, Data Ingestion, Compute Frameworks, Observability and Build Infra., Extensive experience in Python (or another object-oriented language).

• Experience building reliable, distributed applications for Data Processing or similar areas.
• 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 disciplines.
• Experience designing, deploying, and maintaining distributed systems.

• 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 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.

• Our Commitment

  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 benefits

  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.