Software Engineer, AI Libraries

London, United Kingdom💼 Full-time🗓 2026-10-05 → 2026-10-07

Core

Build modular AI libraries and platforms to support training, evaluation, and deployment of autonomous driving models at scale on large GPU clusters.

Role type

Senior IC software engineer (AI platform infrastructure)

Builds

Reusable software libraries, tools, and abstractions for distributed training and inference

Domain

Autonomous driving / AI infrastructure

Deliverable

production ML models

Required skills

Python, software architecture, testing, observability, concurrent/parallel/distributed computing, ML frameworks (PyTorch/TensorFlow), cloud environments (Azure)

Preferred skills

Experience with multimodal data, camera/radar/lidar data sources, large-scale GPU clusters

Technologies

Python, PyTorch, TensorFlow, Azure (via careerplan.io/jobs/82f389e1-b856-4157-ab24-f83f467329e5-software-engineer-ai-libraries-at-wayve)

Responsibilities

Design and write Python code for scalable AI platforms, improve engineering standards, support ML teams in scaling model performance, build modular libraries for data loading and distributed training

Seniority

Senior, hands-on IC

About Wayve

🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a