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Lead the development of an internal web application for computer vision model exploration and data labeling. Collaborate with stakeholders, integrate frontend with existing systems, and ensure maintainable code practices.

The role involves leading technical direction for an in-vehicle web experience, focusing on real-time visualization and collaboration with stakeholders. Responsibilities include architecture leadership, driving usability improvements, mentoring engineers, and ensuring reliability under operational constraints.

As a Senior Fullstack Engineer, you will build a web application for in-vehicle operations, designing 2D and 3D visualizations, integrating data streams, and maintaining performance and usability based on operator feedback.

The Commercial Strategy Manager at Wayve will manage strategic partnerships, drive compute strategy, and ensure alignment across engineering and commercial initiatives to scale AI technology.

As Robotaxi Safety Programme Lead, you will oversee the execution of safety programs for deploying and scaling autonomous vehicle operations, collaborating with engineering and regulatory teams to meet safety requirements and metrics.

The Release Manager will oversee reliable software releases, coordinate planning, manage issues and changes, identify bottlenecks, ensure cross-functional collaboration, and drive continuous improvement processes.

The Global Logistics Manager leads Wayve's global logistics strategy and operations, ensuring compliance with customs regulations and managing logistics partners to support international scaling.

Build and maintain scalable, modular training libraries and data pipelines for large-scale ML training. Improve engineering quality, observability, and support ML engineers on distributed training, checkpointing, and data preparation for production-scale model training.

Maintain and improve reliability, availability, and performance of vehicle software across the dev fleet. Build monitoring, alerting, and automation for deployments and fleet operations. Lead incident response, post-incident learning, capacity planning, and collaborate with Vehicle SW, ops, and platform teams on SLOs and release readiness.

The Principal Engineer will lead the development of large-scale AI infrastructure, focusing on GPU orchestration, data systems, and technical mentorship within a diverse team.