Data Engineer, Autonomous Driving

wayve • Japan

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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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