Staff Software Engineer – Data Enrichment Platform for ML

Wayve; London (KY); On-site; USD 159,000 - 238,000; Full time

Job summary

Wayve seeks a Staff Software Engineer for the Data Enrichment Platform to own the technical vision for systems that deploy, run, evaluate, and improve models. You will shape a platform handling petabytes of driving data across GPU fleets, enabling dozens of model engineers.

You will collaborate with model engineering, infrastructure, compute and data teams to deliver dependable, self-service capabilities that raise model quality while reducing cost and operational effort.

Qualifications

• Own the long-term technical direction and measurable outcomes of a complex, multi-system platform.
• Strong production software-engineering experience in Python, building maintainable, tested back-end services, APIs and data-processing systems.
• Deep experience designing and operating large-scale distributed systems for data-intensive or compute-intensive workloads.
• A track record of productising internal platforms for broad adoption, with a focus on reliability, usability and self-service.
• Excellent architecture and technology judgement, with hands-on leadership across teams.
• Strong communication and influencing skills, with experience mentoring senior engineers.

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.

Skills

Technical leadership

Python backend

Distributed systems

Self-service platform

Mentoring engineers

Cross-team collaboration

Tools

Flyte

Airflow

Dagster

Argo

Spark

Databricks

Ray

Kubernetes

GPU infrastructure

Job description

Wayve seeks a Staff Software Engineer for the Data Enrichment Platform to own the technical vision for systems that deploy, run, evaluate, and improve models. You will shape a platform handling petabytes of driving data across GPU fleets, enabling dozens of model engineers.

You will collaborate with model engineering, infrastructure, compute and data teams to deliver dependable, self-service capabilities that raise model quality while reducing cost and operational effort.