Jobs at Wayve

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 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.

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.

As a Data Scientist at Wayve, you will generate actionable insights using causal methods and statistical frameworks to support AV product teams, focusing on complex data analysis and experimental techniques.

The System Architect - Robotaxi defines and integrates Wayve AI Driver into robotaxi platforms, ensuring coherent architecture across sensors, compute, and software while collaborating with OEMs and internal teams.

Lead functional safety activities for Wayve's Automated Driving Systems, conduct risk assessments, and develop safety concepts for vehicle platforms.

Lead the navigation ML workstream for autonomous driving systems, overseeing model training and deployment, defining technical direction, and mentoring junior engineers.

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

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

The Engineering Manager will lead the US Application Engineering team, oversee the software bring-up on customer hardware, manage integration processes, and support team growth in the field of AI and autonomous vehicles.

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 NPI Engineer leads the rollout of new hardware/software products, ensuring quality and performance through cross-functional collaboration, agile cycles, and stakeholder feedback.

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

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

The Technical Program Manager drives portfolio projects, aligns cross-functionally with teams, manages product roadmaps, and maintains executive communication to deliver value and achieve growth goals.

The HIL Platform Scalability Engineer will design and implement monitoring systems, develop automation for HIL configurations, and manage reliability of HIL systems. This role is essential for scaling and ensuring efficient integration and validation at multiple sites.

As a Staff Machine Learning Engineer, you will lead the development and deployment of AI models for autonomous driving, focusing on safety and reliability. Responsibilities include driving the roadmap, training models, and collaborating across teams.

The Application Software Engineer will focus on integrating AI technology for autonomous driving, ensuring software functionality on hardware platforms, and collaborating across teams for smooth delivery.

Work with the Robot Software team to optimize software performance for autonomous driving, troubleshoot issues, and improve runtime efficiency across the software stack.