Senior Software Engineer, Data and Orchestration

• Join Wayve’s Data and Orchestration team as a Senior Software Engineer, working hybrid from London. • Build the platforms behind Wayve’s data engineering, orchestration and inference workflows. • Revamp the existing Harness system and build a new DAG-based orchestration platform for next-generation fleet data volumes. • Support company-wide infrastructure for high-priority data runs, batch inference, evaluations and incident response. • Work closely with partner teams to understand what they need from their pipelines. • Help shape engineering practices at a company where much of the playbook is still being written.

• Bring strong software engineering fundamentals and experience building and maintaining production-grade systems. • Write solid Python code. • Show experience with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing. • Apply best practices such as unit testing, integration testing, test-driven development and data-driven development. • Know distributed event streaming platforms such as Apache Kafka. • Understand database principles and consistency models, including eventual and strong consistency. • Know traditional databases or data warehouses such as Postgres, ClickHouse or column-oriented databases. • Turn the needs of platform users and partner teams into scalable technical solutions.

• Bring experience in data engineering, data platforms, workflow orchestration or pipeline infrastructure. • Show experience with ML infrastructure, inference systems or ML performance optimisation. • Bring exposure to large-scale batch processing, compute scheduling or resource prioritisation. • Show experience with tools such as Ray, Flyte or Spark. • Bring experience building shared libraries, developer tooling or internal platforms used across multiple teams.

• Design, build and evolve scalable data pipeline and orchestration infrastructure for Wayve’s autonomous driving data platform. • Revamp the existing Harness system and develop a new DAG-based workflow platform. • Build tooling and libraries that make ingestion, processing, inference and evaluation workflows simple and consistent across teams. • Run hundreds of parallel pipeline steps efficiently, with correct outputs, no conflicts and effective resource prioritisation. • Support batch inference and performance optimisation workflows so teams can run evaluations cost-effectively at scale. • Improve platform reliability, quality and usability, including incident response aligned to business-defined SLOs.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Earn a salary benchmarked against the market every year. • Receive meaningful equity in Wayve’s long-term success. • Get relocation support and visa sponsorship where applicable. • Work hybrid with core hours and hands-on time in vehicle workshops and labs. • Use a learning and development budget for training and conferences. • Receive health and dental insurance, a pension and access to therapists. • Enjoy enhanced maternity and paternity leave, wellbeing partnerships and team socials.

Wayve is building an AI platform for autonomous driving, using an end-to-end approach where vehicles learn directly from real-world experience instead of hand-coded rules or pre-mapped environments. Its mapless, hardware-agnostic AI Driver integrates with global OEM partners and supports automation from L2+ through to L4. Founded in 2017 and headquartered in London, Wayve also has hubs in Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg.