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’re looking for a Senior Software Engineer to join Wayve’s Data and Orchestration team in London, working on the platforms that power our data engineering, orchestration and inference workflows at scale. This team builds the infrastructure that enables partner teams to ingest, process and transform high-volume data from external vendors, vehicle fleets and customer programmes, while ensuring systems are reliable, efficient and easy to use. A key focus for the role will be the evolution of Wayve’s data pipeline platform, including the revamp of our existing Harness system and the development of a new DAG-based orchestration system designed for our vehicle fleet’s next generation data volumes. You’ll have the opportunity to help shape foundational infrastructure used across the company, supporting high-priority data runs, batch inference, evaluations and business-critical incident response. Key responsibilities - Design, build and evolve scalable data pipeline and orchestration infrastructure for Wayve’s next-generation autonomous driving data platform - Contribute to the revamp of the existing Harness system and the development of a new DAG-based workflow platform - Build tooling and libraries that make data ingestion, processing, inference and evaluation workflows simple, reliable and consistent across teams - Ensure the platform can run hundreds of parallel pipeline steps efficiently, with correct outputs, no conflicts and effective resource prioritisation - Support batch inference and performance optimisation workflows, helping teams run evaluations in a cost-effective and scalable way - Improve platform reliability, quality and usability, including incident response workflows aligned to business-defined SLOs - Collaborate with partner teams to understand their pipeline requirements and provide the underlying infrastructure that enables them to move quickly About you In order to set you up for success as a Senior Software Engineer in Data and Orchestration at Wayve, we’re looking for the following skills and experience. Essential - 7+ years of professional experience in software engineering or a related technical field. - Strong software engineering fundamentals, with experience designing, building and maintaining production-grade systems. - Solid Python programming skills - Good understanding of software engineering best practices, including unit testing, integration testing, test-driven development and data-driven development - Experience working with systems at scale, ideally involving distributed systems, large data volumes or high-throughput processing - Familiarity with distributed event streaming platforms such as Apache Kafka - Understanding of database principles and consistency models, including concepts such as eventual consistency, strong consistency and distributed data systems - Familiarity with traditional databases or data warehouses such as Postgres, ClickHouse or column-oriented databases Desirable - 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 #LI-HH1 Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve For US candidates only, please visit E-Verify Notice and Participation and Right to Work DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.