Jobs at Wayve

Lead operations strategic planning for global fleet operations: annual/quarterly planning, headcount and budget modelling, cross-functional initiatives, data-driven insights, executive reporting, OKR tracking, and operational cadence to drive scalable autonomous-vehicle deployment.

Lead design and build an offline 3D reconstruction system that produces high-quality geometry and ego-motion from vehicle sensor data. Define architecture, develop MVPs, set quality/validation standards, align cross-functional teams, and mentor engineers to productionize reconstruction capabilities.

The Staff ML Performance Engineer optimizes ML inference for edge devices, profiles performance bottlenecks, and implements improvements across systems while collaborating with model developers to enhance on-device performance.

Lead the Application Engineering team to develop autonomy features for US road conditions, managing engineers and collaborating with OEM partners.

Lead Wayve's new Application Engineering team to develop autonomous driving technology for the US market, focusing on robotics and machine learning systems.

Design and evolve global compute and storage architecture for large-scale GPU training and inference across multi-cloud and data centers. Enable petabyte-scale data federation, cross-region GPU job execution, advise leadership on cloud strategy, and provide technical leadership and mentorship to advance AI model development and deployment.

The Control Engineer integrates, validates, and optimizes AI software and MPC-based trajectory controllers for autonomous vehicles, ensuring safety and performance across diverse conditions.

Design, deploy, and improve HIL systems for vehicle platform validation. Lead integration, manage hardware/software collaboration, resolve system issues, and enhance reliability.

The Hardware Engineer will design and develop embedded systems for autonomous vehicles, lead board-level design, and optimize hardware for performance and reliability.

The role involves analyzing Operational Design Domains and traffic patterns to define data needs, developing data strategies for autonomous driving, and collaborating across teams to enhance system performance.

The Machine Learning Engineer will develop AI driver models, manage training algorithms, and conduct on-road evaluations to enhance automated driving safety and performance.

The Customer Integration Engineer supports clients during the development lifecycle by providing technical assistance, troubleshooting, and ensuring effective integration of AI technology into vehicles.

The Product Manager will lead a cross-functional team to deliver the AI Driver product, focusing on strategy, communication, and technical detail in AI and ML.

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.

As a Data Scientist, you will generate insights to prioritize efforts and identify opportunities, focusing on experimental and causal inference methodologies.

Responsibilities include defining technical architecture for vehicle integration, translating product needs into specifications, and collaborating with cross-functional teams.

As a Platform Engineer, you'll manage cloud infrastructure, enhance developer tooling, optimize CI/CD pipelines, ensure system security, and provide support for operations, contributing to team efficiency and productivity.

As Director of AV Product Engineering, you will manage product engineering, develop autonomous vehicle capabilities, and lead multiple teams to ensure alignment with company objectives while fostering technical growth and innovation.

The System Integration Engineer leads the integration of autonomous vehicle platforms, evaluates new hardware systems, and troubleshoots issues to enhance system performance and reliability.

Manage the US Application Engineering team, lead software bring-up on customer hardware, validate integration, and drive advancements in AI technology for autonomous driving.