Staff Software Engineer, Data Enrichment Platform

As a Staff Software Engineer for the Data Enrichment Platform, you will own the technical vision for the systems that enable Wayve’s teams to deploy, run, evaluate and continually improve machine-learning models. You will shape a platform that processes petabytes of driving data, operates across large GPU fleets and supports dozens of model engineers. Working across model engineering, infrastructure, compute and data teams, you will create dependable, self-service capabilities that improve model quality while reducing cost and operational effort.

Key responsibilities:

• Define the technical vision and architecture for Wayve’s end-to-end Data Enrichment Platform.
• Lead the development of backend services, APIs, model-execution workflows, versioned outputs, annotation capabilities and dataset catalogues.
• Build scalable and reliable systems for large-scale inference, automated evaluation, model monitoring, active learning and retraining.
• Partner with platform teams to address data locality, scheduling, capacity, backpressure, failure recovery, observability and cost across petabyte-scale datasets and large GPU fleets.
• Make effective build, buy, reuse, integrate, consolidate and replace decisions as Wayve’s requirements and the technology landscape evolve.
• Establish clear technical boundaries and working relationships across AI Platform, infrastructure, compute, storage, data and model-engineering teams.
• Remain hands-on while leading cross-team delivery, mentoring engineers and driving the adoption of reusable, self-service platform capabilities.
• Define measurable service levels and success metrics covering platform reliability, throughput, cost, automation and adoption.

In order to set you up for success as a Staff Software Engineer for the Data Enrichment Platform at Wayve, we’re looking for the following skills and experience.

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