Senior Data Engineer (Autonomous Driving Datasets & Data Lifecycle)

wayve • United State

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AI Summary

Lead the design and implementation of petabyte-scale data pipelines for Wayve’s autonomous driving AI, focusing on filtering, retention, and offload strategies. Build systems for data movement, selection models, and storage optimization while ensuring high-quality datasets for model training. Collaborate closely with data infrastructure and strategy teams to deliver scalable, cost-efficient solutions for real-world driving data.

Key Highlights

Own petabyte-to-exabyte-scale data ingestion, annotation, and lifecycle management for autonomous driving AI training

Develop filtering, retention, and offload policies for hot/cold/archive/delete storage tiers with measurable cost savings

Engineer data pipelines and selection models for pre-ingestion, balancing compute efficiency and data value

Work at the intersection of software engineering and data strategy, ensuring datasets align with model training needs

Key Responsibilities

Implement and iterate filtering, retention, and offload policies for petabyte-scale driving data across storage tiers

Build data movement pipelines and pre-ingestion selection models to optimize compute costs and data value

Design low-compute decision points to avoid unnecessary standardization/enrichment of low-value data

Collaborate with storage/data infrastructure teams to monitor and ensure data quality for model training

Work closely with the dataset strategy lead to translate data strategy into practical, scalable systems

Deliver measurable storage-cost savings through early, efficient data filtering and lifecycle management

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Technical Skills Required

Python Apache Spark Cloud Data Engineering

Benefits & Perks

Market-benchmarked annual salaries

Meaningful equity and long-term ownership

Relocation support and visa sponsorship where applicable

Hybrid working with core hours and access to vehicle labs

Comprehensive benefits including health insurance, dental, parental leave, retirement, and wellness programs

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Nice to Have

Experience with autonomous vehicles, robotics, or high-volume IoT data

Familiarity with retention, offload, and data lifecycle policies

Background in AV fleet data or autonomous driving systems

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.

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