SWE, Data Ingestion

Job description

About us 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! The Role 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. Key Responsibilities 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 bloc…