Senior SWE - Data Search

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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.

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.

Who are we looking for?

The AD/ADAS Data Platform team is looking for a Staff SWE who is passionate about enabling the next generation of automotive software development. Modern ML-based AD/ADAS development requires automatic categorisation and indexing of data based on weather and road conditions, rarity and complexity of driving behaviors and a variety of other factors: for this we are building a data search platform that combines traditional indexing approaches with cutting-edge generative AI technology, which needs to handle large amounts of driving data. The right candidate will have previous experience in building scalable and reliable cloud infrastructure, a user-first attitude, and excellent communication skills to work in a global team. Previous experience in building ML applications is a definite bonus.

Responsibilities:

• Work on high-impact projects and innovate new solutions to problems in the self-driving space
• Work with Computer Vision,Machine Learning and Simulation engineers on high-impact projects
• Understand the complex data requirements of modern ML development and evolve our data ecosystem to meet these needs
• Design and implementation of new solutions that increase the usage and the impact of data for AD/ADAS development
• Work on distributed systems that serve,process and transform large quantities of data in the cloud

Minimum Qualifications:

• Experience working in a distributed team in a fast-changing environment
• Experience building scalable and reliable distributed systems for Data Processing or similar areas
• Experience working in cross-functional teams.
• Experience with programming languages such as Python, Java or C++
• Hands-on experience developing cloud applications (e.g. AWS, GCP, Azure)
• Experience with technologies like BigQuery and/or SnowFlake

Preferred Qualifications:

• Previous experience in building data products and/or ML applications/work with ML teams
• Experience in influencing and driving change in complex organizations
• Experience with matrix organizations

WHAT WE OFFER

We 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 benefits

Our 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.