SWE, Data Ingestion

Sunnyvale, California USA💼 Full-time💰 $210,000–$210,000🗓 2026-09-16 → 2026-09-25

Core

Build and maintain robust, high-scale data ingestion pipelines to process real-world driving data for Wayve's self-driving AI models.

Role type

Senior Data Engineer (Data Ingestion)

Builds

Scalable data ingestion pipelines, ETL workflows, and data processing systems for autonomous driving data.

Domain

Autonomous driving / Embodied AI / Data Engineering

Deliverable

production ML models

Required skills

Apache Spark, Python, large-scale data ingestion, distributed data processing, pipeline debugging, data orchestration, throughput optimization, PB-scale data handling

Preferred skills

Airflow, Flyte, Databricks Workflows, Delta Lake, Scala, Java, queue-based processing, cost optimization, automotive/robotics domain experience

Technologies

Apache Spark, Python, Airflow, Flyte, Databricks, Delta Lake, Scala, Java

Responsibilities

Debug and resolve failing ingestion pipelines, investigate corrupt or malformed data, design resilient pipelines, optimize Spark jobs for throughput and efficiency, manage multi-step workflow orchestration, reduce operational toil, partner with downstream teams to unblock datasets.

Seniority

Senior, hands-on IC

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About Wayve

🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a