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Data Engineer, Autonomous Driving

wayve • Japan
Visa Sponsorship Relocation
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AI Summary

Design and deliver scalable data pipelines to transform diverse vehicle and sensor data into model-ready datasets for autonomous driving. Collaborate with ML engineers and Data Corpus teams to ensure data quality, traceability, and integration with production learning systems. Requires strong Python, SQL, and PySpark skills with experience in distributed data processing and robotics data concepts.

Key Highlights
Build scalable data pipelines for autonomous driving model development and evaluation
Ingest and curate large-scale real-world, synthetic, and partner-provided datasets
Develop data quality checks and monitoring for high-quality, traceable ML datasets
Key Responsibilities
Build and improve scalable data pipelines supporting model development, evaluation, and production ML workflows
Ingest, transform, and curate large-scale real-world, synthetic, and partner-provided datasets into structured, model-ready formats
Develop data quality checks, validation processes, and monitoring to ensure data is high-quality, complete, and traceable
Curate and mine real-world and synthetic data to drive scenario diversity and feature-specific development
Improve pipeline performance, reliability, and usability to reduce bottlenecks and increase iteration velocity
Collaborate with ML engineers, Data Corpus, AI Platform, and external partners to integrate data pipelines with production-scale learning systems

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Technical Skills Required
Python SQL PySpark
Benefits & Perks
Meaningful equity
Relocation support
Visa sponsorship
Hybrid working
Learning and development budgets
Comprehensive benefits including health insurance, dental, and enhanced parental leave

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Nice to Have
Prior work in calibration, perception, imitation learning, or trajectory prediction
Experience with third-party dataset ingestion and transformation
Familiarity with automated driving data and scenario taxonomies, including ODD definitions and semantic understanding

Job Description

Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.The Machine Learning team within Application Software, part of Product & Delivery, works on critical initiatives that push the frontier of model-based autonomous driving. That covers core driving performance as well as feature-level intelligence such as personalisation, comfort and collaboration.
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Job Overview
Posted Date Oct 16, 2026
Employment Type Full-time
Experience Level Not Applicable
Location Japan
Category Data Science
Company wayve
Mentioned Skills
python ai sql spark machine learning

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