Latest Automated Test Equipment Jobs

Model Release Engineer

The role involves building and automating the end-to-end platform for releasing AI models, integrating systems across training, simulation, testing, and deployment. The engineer will design scalable, observable workflows, improve reliability, and use AI-assisted tools to streamline the model release lifecycle. Collaboration with cross-functional teams is key to aligning interfaces and resolving delivery challenges.

Wayve London, United Kingdom

Senior Software Engineer, Data

Build and operate large-scale, globally distributed data transfer pipelines for petabytes of sensor data from partners. Design and implement a hub-and-spoke data exchange system using Flyte, Kafka, and Azure, with a focus on reliability, observability, and scalability. Collaborate with product and commercial teams to deliver data solutions that enable AI model training at scale.

Wayve London, United Kingdom

Staff Robotics Engineer, AV Core

As a Staff Robotics Engineer, you will lead the technical direction and delivery of fault detection and fallback systems for driverless operation. You will collaborate with machine learning experts, design robust systems, and integrate them into the shared driving stack, ensuring the overall robustness of the robot system.

Wayve London, United Kingdom

Machine Learning Engineer (Synthetic Data)

Build and scale next-generation world model architectures to generate high-fidelity synthetic data for autonomous driving systems. Bridge ML research and engineering by integrating generative models into large-scale training pipelines, diagnosing generation failures, and improving throughput. Work across simulation, 3D geometry, and multi-sensor data to enable training of driving models on scenarios with limited real-world data.

Wayve London, United Kingdom

Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and reliability of machine learning model releases through rigorous validation and process standardization. The engineer will work across training phases, collaborating with platform, CI/CD, and evaluation teams to improve delivery pipelines and implement robust MLOps practices. The position is central to maintaining model integrity and safety in a high-stakes autonomous driving environment.

Wayve London, United Kingdom

Staff Software Engineer, Data Enrichment Platform

As a Staff Software Engineer for the Data Enrichment Platform, you will lead the technical vision and development of systems that process petabytes of driving data, support large GPU fleets, and improve model quality. You will work closely with model engineering, infrastructure, and data teams to build scalable, reliable, and self-service capabilities.

Wayve London, United Kingdom

Staff ML Engineer Gaia

As a Staff ML Engineer on Gaia, you will lead the training and improvement of large-scale video world models, contributing to model architecture, training strategies, and synthetic scenario generation. You will work closely with research, simulation, and infrastructure teams to deliver end-to-end impact and provide technical leadership through mentorship and high engineering standards.

Wayve London, United Kingdom

Hybrid Permanent

Lead Technical Program Manager, Data

The Lead Technical Program Manager for Data will build and lead the TPM function, focusing on data platform, ingestion, pipelines, and enrichment. You'll partner with engineering leadership, drive flagship programs, and ensure data quality and throughput.

Wayve London, United Kingdom

Release Manager — AI Models

This role involves managing the end-to-end release lifecycle of AI models for autonomous driving systems, from training and evaluation to on-road testing and fleet deployment. The Model Release Manager will establish gating criteria, drive issue resolution, and improve release processes in a fast-moving, research-informed environment. Collaboration with ML, software, and product teams is central to ensuring reliable, safe, and timely model releases.

Wayve London, United Kingdom

Technical Product Manager - Development Vehicles

This role involves defining and evolving the product roadmap for Wayve’s development and experimentation vehicle platforms, integrating software, hardware, and operations to accelerate autonomous driving innovation. The Technical Product Manager will gather cross-functional requirements, define platform KPIs, and improve tooling to streamline deployment, debugging, and data access. Emphasis is placed on scalability, reuse across reference and customer vehicles, and alignment between internal and customer workflows.

Wayve United Kingdom

Hybrid Permanent

Vehicle Performance Modelling Engineer

This role involves developing and validating vehicle dynamics models to ensure accurate simulations of real-world performance. You will work cross-functionally with robotics, simulation, and product teams to integrate these models into Wayve's end-to-end driving stack, focusing on both online and offline systems.

Wayve London, United Kingdom

Staff Research Scientist, Reinforce Learning

This role involves developing and deploying advanced AI systems for autonomous driving, focusing on areas like world modeling, reinforcement learning, and spatial intelligence. You will work in a high-conviction research team, contributing to core innovations and pushing the boundaries of embodied AI.

Wayve London, United Kingdom

Senior Machine Learning Engineer - AV Core

As a Senior Machine Learning Engineer, you will lead the development of large-scale data curation and mining techniques, focusing on rare events and model introspection to enhance the robustness of automated driving systems. You will collaborate closely with research, simulation, and engineering teams to improve model performance and safety.

Wayve London, United Kingdom

Principal Machine Learning Engineer GAIA

This role involves leading and improving the training and performance of Gaia, Wayve's world model for autonomous driving. Responsibilities include fine-tuning the model, enhancing its stability and coherence, and collaborating with various teams to ensure its deployment readiness and impact.

Wayve London, United Kingdom

Platform Engineer, SDO

As a Platform Engineer, you will build, maintain, and improve cloud infrastructure and CI/CD pipelines, primarily on Azure. You'll work closely with engineering teams to ensure scalable, reliable, and secure systems, while continuously improving automation and reducing manual operations.

Wayve London, United Kingdom