SWE, Data Ingestion

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

We are looking for a Data Ingestion Engineer to help build and strengthen the data foundations behind Wayve’s self-driving technology.

At Wayve, we do not hand-code cars to drive. We train them to drive from data. That makes data ingestion one of the most important parts of our learning system. The faster, more reliably and more intelligently we can process real-world driving data, the faster we can improve our models and bring embodied AI into the world.

This is a hands-on permanent role for an engineer who enjoy solving practical, high-impact problems at scale. You will help keep our ingestion pipelines running smoothly, unblock critical data flows, and contribute to the long-term evolution of the systems that support annotation, data science, model training and evaluation.

Our data platform operates at significant scale, with over 500,000 hours of driving data, equating to 100’s of PBs. As our ADAS and autonomy work grows, we need ingestion systems that are robust, efficient and cost-effective. A single bad data segment can block a pipeline, build up queues and slow down downstream teams, so this role has a direct impact on how quickly Wayve’s AI can learn.

You will work within the Data Ingestion team to improve the reliability, efficiency and throughput of the pipelines that move real-world driving data through Wayve.

• Debug and resolve failing or blocked ingestion pipelines.

• Investigate issues caused by corrupt, malformed or unexpected data.

• Design and implement more resilient pipelines so individual bad data segments do not block wider workflows.

• Improve how we handle varied data formats from partners, suppliers and third-party sources.

• Support orchestration across multi-step ingestion workflows, including dependencies, retries and queue management.

• Optimise Spark jobs and data-processing pipelines for throughput, compute efficiency and reliability.

• Reduce operational toil around failed jobs, stalled pipelines and manual interventions.

• Work on high-volume batch-processing systems where throughput, reliability and cost all matter.

• Help prioritise and unblock important datasets for downstream annotation, data science and model training teams.

• Partner with engineers across Data Platform and downstream teams to deliver both immediate improvements and scalable long-term solutions.

• Contribute to the technical direction, maintainability and operational excellence of Wayve’s ingestion platform.

You are an experienced Data Engineer, Platform Engineer or Distributed Systems Engineer who enjoys working on large-scale production data