Staff Data Platform Engineer

• Own and lead Wayve's Data Transfer Hub project, a mission-critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partner-operated vehicles around the world. • Design and build a globally distributed hub-and-spoke ingestion system, working directly with data partners like Uber and Nissan. • Take on a hands-on technical leadership role driving a new project whose infrastructure makes Wayve's AI model training possible at scale.

• Have proven experience building and operating large-scale data transfer pipelines at multi-TB or PB scale. • Have experience orchestrating parallelised transfer jobs, with Flyte preferred or other workflow orchestration tools such as Airflow or Prefect. • Have experience building reliable, observable data systems including retry strategies, backfills, data integrity checks, lifecycle/state tracking, and operational alerting. • Have strong cloud platform skills with Azure preferred, and experience working with multiple cloud providers as a strong advantage. • Be proficient in Python and Terraform. • Have cloud-to-cloud and networking experience such as blob/object transfer and storage at scale and cross-cloud data movement. • Have a product mindset, thinking about the customer and building solutions that fix real problems. • Be comfortable working in a fast-changing environment with evolving requirements. • Demonstrate a high degree of autonomy and ownership, taking responsibility for outcomes, not just tasks.

• Have experience with Kafka for event-driven transfer observability. • Have multi-cloud experience across Azure, AWS, and/or GCP. • Have experience working directly with external data partners. • Have a background in autonomous vehicles, robotics, or similar data-intensive domains.

• Set technical direction for the Data Transfer Hub, making trade-offs across reliability, throughput, cost, partner constraints, observability, and operational support. • Lead the technical design and delivery of the Data Transfer Hub project, ingesting large volumes of video, LiDAR, and sensor data from global partners at up to PB/day scale. • Design and build parallelised, distributed data transfer pipelines using Flyte for workflow orchestration, Kafka/event-driven patterns for lifecycle tracing, and Azure for storage and transfer infrastructure. • Build and operate a globally distributed hub-and-spoke data transfer model to retrieve and share sensor data at scale with partners. • Write infrastructure-as-code in Terraform and build pipeline logic primarily in Python. • Drive cloud-to-cloud and cross-cloud networking solutions.

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.

• Work in a hybrid model from Wayve's London office with core working hours so you can determine the schedule that works best for you and your team. • Join a well-funded company backed by leading investors, founded in 2017 and pushing the boundaries of embodied AI. • Work in an inclusive environment that values diversity and embraces new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its 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. Portal is the cloud platform that connects Wayve to the outside world, handling data exchange with partners like Uber and Nissan, surfacing AI insights, and enabling the commercial deployment of Wayve's autonomy stack to OEM partners globally.