London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
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London, England, United Kingdom · Hybrid
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You will build and operate large-scale, globally distributed data transfer pipelines to handle petabytes of sensor data for AI model training. You will also contribute to the technical design of the Data Transfer Hub while collaborating with cross-functional teams to solve complex partner integration challenges.
The role requires strong software engineering skills with proven experience in building and operating large-scale data ingestion or processing pipelines. Proficiency in Python, Terraform, and cloud platforms like Azure is essential, along with a product-focused mindset and experience in distributed systems.
Portal is the cloud platform that connects Wayve to the outside world: handling data exchange with partners, surfacing AI insights, and enabling the commercial deployment of Wayve's AI driver on vehicles across the globe.
We're looking for a Senior Software Engineer, Data to help build Wayve's Data Transfer Hub: a mission-critical piece of infrastructure that will scale to transfer petabytes of sensor data per day from partners covering vehicles around the world.
This is a pivotal project at Wayve. You'll work as part of a small, high-autonomy team building a globally distributed hub-and-spoke data exchange system, working with partners like Uber, Stellantis and Nissan. Your work will help make Wayve's AI model training possible at scale.
Build and operate large-scale data transfer pipelines for video, LiDAR and sensor data from global partners at up to PB/day scale
Contribute to the technical design of the Data Transfer Hub, making pragmatic trade-offs across UX, careliability, throughput, cost, partner constraints, observability and operational support
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
Help implement and evolve 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 pipeline logic primarily in Python
Build reliable operational foundations, including retry strategies, backfills, data integrity checks, lifecycle/state tracking, dashboards and alerting
Work on cloud-to-cloud and cross-cloud networking solutions, with Azure as the primary cloud platform
Once established, participate in an out-of-hours on-call and support rotation.
Collaborate with product, commercial and partner-facing teams to understand constraints and deliver solutions that solve real customer and partner problems
Work in a fast-changing environment where requirements and partner deliverable dates evolve, while maintaining high engineering standards
In order to set you up for success as a Senior Software Engineer at Wayve, we’re looking for the following skills and experience.
Proven experience building and operating large-scale data transfer, ingestion or data processing pipelines, ideally at multi-TB or PB scale
Strong software engineering skills
Experience delivering & maintaining production systems
Experience with workflow orchestration for parallelised jobs; Flyte preferred, but Airflow, Prefect or similar tools are also relevant
Experience building reliable, observable data systems, including retry strategies, backfills, data integrity checks, lifecycle/state tracking and operational alerting
Strong cloud platform skills, with Azure preferred; experience with AWS or GCP is a plus
Proficiency in Python and Terraform
Experience with blob/object storage, large-scale file movement, networking or cloud-to-cloud data transfer
A product mindset: you think about the customer and build solutions that fix real problems, not just implement requirements
Comfort working in a fast-changing environment with evolving requirements
A strong sense of ownership: you take responsibility for outcomes, communicate clearly, and help the team move quickly
Experience working with external data partners or customer-facing technical integrations
Background in autonomous vehicles, robotics, geospatial data, video processing or other data-intensive domains
Experience with Kafka or other event-driven systems for transfer observability and lifecycle tracking
Experience building dashboards to communicate transfer job status
Multi-cloud experience across Azure, AWS and/or GCP
Experience improving cost efficiency, throughput or reliability of large-scale cloud data systems
This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
At Wayve, we’re building a global driving intelligence that learns from data and scales across different vehicles and geographies. Founded in 2017, we have pioneered an end-to-end AI approach to autonomous driving that is faster to deploy, more flexible by design and built to scale. We deliver all levels of autonomy, from hands-off and eyes-off driving, to robotaxis. We license and integrate the Wayve AI Driver as a vehicle-agnostic software platform that runs entirely on onboard vehicle compute and native sensors. Wayve is the first and only AV company to test a single global AI Driver model across more than 500 cities in Europe, North America and Japan. We’re building autonomy for anyone, in any vehicle, anywhere.
Offices: ., London, United Kingdom, GB · 709 N Shoreline Blvd, Mountain View, California 94043, US
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