Staff Software Engineer, Ingestion Systems

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About the role

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. 🛠️ About our Engineering Teams The Data Ingestion Systems team sits within our Wayve Corpus division. Every day, our teams handle and process multiple petabytes of data from our autonomous vehicle fleet and from partner integrations. We turn raw data from many internal and external sources into structured data that powers our machine learning models and research. 🧠 Your day-to-day As Technical Lead, you'll set the technical direction for our ingestion and processing pipelines and lead their design and implementation. You'll unify disparate data sources, including data from external partners, into a consistent format built for AI training and research. You'll work closely with robotics, ML engineering, research and data governance teams, mentor engineers in your team, and help hire and onboard new ones. 🧩 What you'll be working on • Defining and executing a technical roadmap for enhancing and scaling data pipeline capabilities • Evolving pipeline architecture to support new and changing use cases • Leading the design and implementation of pipeline features for efficient data ingestion, transformation and distribution • Normalising and unifying multiple data sources, including external partner data, into a consistent, optimised format for AI training and research • Building interfaces and systems that reduce bottlenecks and improve reliability and scalability • Setting best practices for pipeline reliability, including observability, alerting and monitoring • Leading work to reduce pipeline latency, improve failure recovery and meet SLAs • Building a culture of transparency, collaboration and shared ownership across teams 🙌 You should apply if • You have 8+ years in software engineering focused on developing and operating scalable, complex data pipelines, including 3+ years leading or architecting data engineering projects • You have technical leadership experience in pipeline engineering or a related domain • You have expertise in modern data pipeline architectures, including DAG-based orchestration (e.g. Airflow, Flyte, Ray) • You have a solid understanding of data engineering practices, distributed processing frameworks and pipeline optimisation techniques • You communicate and collaborate well with interdisciplinary teams • You have a track record of mentoring and developing engineers • You have a Bachelor's degree or higher in Computer Science, Engineering or a related technical discipline Nice to have: • Experience with robotics or autonomous vehicle sensor data processing pipelines • Familiarity with third-party dataset ingestion and transformation • Understanding of compliance and data governance frameworks (e.g. GDPR, TISAX, ASPICE) • Hands-on experience integrating observability and monitoring solutions   🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.   More 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

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