Data Architect for Autonomous Driving Systems
4 days ago
London / Product & Technology - AD/ADAS / Employee / hybrid
About Woven
At Woven, we're revolutionizing the future of mobility with our cutting-edge technology. Our Arene mobility software platform and safety-first automated driving solutions aim to bring greater freedom, safety, and happiness to people and society.
We're a unique blend of modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. This synergy enables us to amplify the capabilities of drivers, foster happiness, and elevate well-being.
Data Platform Team Overview
Our data platform team is dedicated to accelerating autonomous driving by providing efficient access to petabytes of data collected from our fleet of vehicles. We're tackling complex problems in AD/ADAS, from developing Machine Learning models for perception and prediction to increasing validation and simulation sophistication.
Our ML and Data pipelines are built on Flyte, deployed to AWS, and use Python, SQS, Kafka, BigQuery, and Elasticsearch. We prioritize automation and testing for robust system delivery.
The Ideal Candidate
We're seeking a Staff SWE passionate about enabling next-generation automotive software development. The right candidate will have experience building scalable cloud infrastructure, a user-first attitude, and excellent communication skills for global teamwork. Previous ML application experience is a bonus.
- Work on high-impact projects innovating solutions for self-driving challenges.
- Collaborate with Computer Vision, Machine Learning, and Simulation engineers.
- Understand complex data requirements for modern ML development and evolve our ecosystem accordingly.
- Design and implement new solutions increasing data usage and impact for AD/ADAS development.
- Work on distributed systems processing large quantities of data in the cloud.
- Experience building scalable distributed systems for Data Processing or similar areas.
- Proficiency in programming languages like Python, Java, or C++.
Preferred Qualifications:
- Previous experience in building data products and/or ML applications/work with ML teams.
What We Offer
We're committed to creating a modern work environment supporting our employees and their loved ones. We offer top-notch health, wellness, dental, and vision coverage.
Our Commitment
We're an equal opportunity employer and value diversity.
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