Wayve
Senior Software Engineer, Data
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The Role
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.
Key Responsibilities
- 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
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About You
In order to set you up for success as a Senior Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
- 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
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Desirable
- 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.
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