Checked against the employer's source on October 14, 2026. Details come from the employer's posting; confirm them on the application page.
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Job Description
Before the detail, here's the challenge you'd help us solve.
We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.
Here’s what this particular role covers.
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
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
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.
A quick, honest note before you apply.
Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.
If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.
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.
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.
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