Senior Software Engineer, Data and Orchestration

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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 and Orchestration team in London builds the platforms behind Wayve's data engineering, orchestration and inference workflows. Our infrastructure lets partner teams ingest, process and transform high-volume data from external vendors, vehicle fleets and customer programmes, and we make sure those systems are reliable, efficient and easy to use. 🧠 Your day-to-day You'll help evolve Wayve's data pipeline platform. That means revamping our existing Harness system and building a new DAG-based orchestration system for our fleet's next-generation data volumes. You'll work on infrastructure used across the company, supporting high-priority data runs, batch inference, evaluations and business-critical incident response, and you'll work closely with partner teams to understand what they need from their pipelines. 🧩 What you'll be working on • Designing, building and evolving scalable data pipeline and orchestration infrastructure for Wayve's next-generation autonomous driving data platform • Revamping the existing Harness system and developing a new DAG-based workflow platform • Building tooling and libraries that make data ingestion, processing, inference and evaluation workflows simple, reliable and consistent across teams • Making sure the platform runs hundreds of parallel pipeline steps efficiently, with correct outputs, no conflicts and effective resource prioritisation • Supporting batch inference and performance optimisation workflows, so teams can run evaluations in a cost-effective and scalable way • Improving platform reliability, quality and usability, including incident response workflows aligned to business-defined SLOs 🙌 You should apply if • You have strong software engineering fundamentals and experience designing, building and maintaining production-grade systems • You have solid Python programming skills • You have worked with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing • You understand software engineering best practices, including unit testing, integration testing, test-driven development and data-driven development • You are familiar with distributed event streaming platforms such as Apache Kafka • You understand database principles and consistency models, including eventual consistency, strong consistency and distributed data systems • You are familiar with traditional databases or data warehouses such as Postgres, ClickHouse or column-oriented databases • You work well with platform users and partner teams, turning their requirements into scalable technical solutions Nice to have: • Experience in data engineering, data platforms, workflow orchestration or pipeline infrastructure • Experience with machine learning infrastructure, inference systems or ML performance optimisation • Exposure to large-scale batch processing, compute scheduling or resource prioritisation • Experience with tools or frameworks such as Ray, Flyte or Spark • Experience building shared libraries, developer tooling or internal platforms used across multiple teams 🌱 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

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