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

Essential

Strong software engineering fundamentals and solid Python programming skills, with experience designing, building and maintaining production-grade systems

Experience building or operating DAG-based workflow orchestration and data pipeline systems, using tools such as Airflow, Dagster or Flyte.

Experience with distributed computing frameworks such as Ray or Spark

Experience working with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing

Experience deploying and operating production workloads on Kubernetes, including troubleshooting issues and managing resources for reliable, scalable data-processing services.

Familiarity with distributed event streaming platforms such as Apache Kafka

Strong understanding of database principles and consistency models—including eventual and strong consistency in distributed systems—with practical familiarity with relational databases and data warehouses such as Postgres and ClickHouse

Strong collaboration skills, with the ability to work closely with platform users and partner teams to translate requirements into scalable technical solutions

Desirable

Experience with machine learning infrastructure, inference systems or ML performance optimisation

Exposure to large-scale batch processing, compute scheduling or resource prioritisation

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 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 generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.