Engineering

Business Development

Administrative

Product Management

Operations

Information Technology

Research

Human Resources

Quality Assurance

Program and Project Management

Co-Founder & CEO

Chief Financial Officer

Nissan Speeds Up Autonomous Tech with Wayve AI, Aims for 2027 Launch

Funding for European AI startups gains ground on US

Wayve Partners with Nissan for AI Autonomous Tests in Tokyo

Tech industry calls on UK to embrace immigration

Engineering Manager - Robot Software

Wayve is the leading developer of Embodied AI technology, focused on enhancing automated driving systems. The Engineering Manager for the Sensor Systems Software team will lead a talented group of engineers to deliver a reliable software stack for autonomous driving, ensuring robust sensor integration and supporting the company's mission.

Engineering Manager - Robot Software , Sensor Systems Software

Wayve is the leading developer of Embodied AI technology, focused on enhancing automated driving systems. The Engineering Manager for the Sensor Systems Software team will lead engineers to deliver a reliable software stack that supports on-road experimentation and sensor integration, crucial for advancing Wayve's autonomous driving capabilities.

Head of Global Communications

Wayve is a leading developer of Embodied AI technology, committed to creating a diverse and inclusive work culture. They are seeking an experienced Head of Global Communications to lead their external communications strategy, manage media relations, and ensure consistent messaging across all markets as they scale internationally.

Wayve is the leading developer of Embodied AI technology, committed to creating a diverse and inclusive culture. They are seeking an experienced Head of Global Communications to lead the external communications strategy, manage global media relations, and position Wayve as a trusted leader in the AI and autonomous driving space.

Senior Software Engineer, Simulation

Wayve is the leading developer of Embodied AI technology, focused on enhancing the usability and safety of automated driving systems. The role involves evolving a core component of Wayve’s simulation platform, working closely with various teams to ensure accurate and scalable simulations that meet end-user needs.

Staff Fullstack Software Engineer, AI Evaluation

Wayve is a leading developer of Embodied AI technology, focused on creating autonomy for automated driving systems. They are seeking a Staff Fullstack Software Engineer to build internal products that enhance the AI Driver's performance and evaluation, working across the stack to deliver end-to-end features and collaborating with various teams to improve the development workflow.

Senior Software Engineer - Wayve Foundation Model

Wayve is the leading developer of Embodied AI technology, focused on enhancing the usability and safety of automated driving systems. The role involves building the infrastructure that enables researchers to iterate faster and train at scale for Wayve’s foundation model, crucial for end-to-end autonomous driving.

Software Engineer - Automation Framework & Infrastructure

Wayve is the leading developer of Embodied AI technology, focused on creating autonomy that propels the world forward. They are seeking a Software Engineer to develop and scale the system tests infrastructure, which is critical for product validation and quality assurance of their AI software.

Architect, Training & Compute

Wayve is the leading developer of Embodied AI technology, focused on enhancing the usability and safety of automated driving systems. As an Architect for AI Infrastructure, you will design and guide the evolution of foundational compute and storage systems, directly accelerating AI research and enabling rapid model deployment.

Tech Lead, Model Training Platform

Wayve is a leading developer of Embodied AI technology, focused on enhancing automated driving systems. They are seeking a Technical Lead to drive the development of infrastructure, tooling, and workflows supporting the machine learning model lifecycle, while collaborating with various teams to ensure model quality and scalability.