The Strategic Partnerships Manager will oversee commercial execution for robotaxi partnerships in London and Tokyo, ensuring successful pilot launches and scaling operations.

Lead initiatives in model-based autonomous driving, developing ML-driven behaviors from assisted to autonomous driving, collaborating across teams and mentoring engineers.

Lead and oversee customer programs in automotive software, manage project plans, ensure technical requirements are met, and collaborate with teams to deliver results.

As a Software Engineer, you will develop high-performance embedded Linux software, ensure system reliability, and collaborate with teams to optimize vehicle autonomy and diagnostics.

Lead and grow a Japan-based AV engineering team to localise and deliver autonomy features for Japanese roads. Drive end-to-end development, align with HQ and OEMs, hire and mentor engineers across robotics, ML, controls and systems integration, and represent Wayve in technical and product discussions.

The Technical Product Manager is responsible for defining and delivering L4 autonomous driving solutions, aligning with stakeholders and overseeing product development from concept to deployment.

Lead and build Wayve's Japan Application Engineering team to bring up and validate AI software on customer automotive hardware. Manage platform bring-up, port and configure Linux/QNX/AUTOSAR, integrate drivers and middleware, enable diagnostics and secure boot, collaborate on CI/CD and HIL integration, and partner with OEMs/Tier 1s to resolve hardware issues.

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

Develop custom tools and interfaces using low-code products, automate workflows, ensure data integrity, and collaborate with stakeholders to solve operational challenges.

Develop and maintain high-performance C++ software for embedded Linux automotive devices. Integrate sensors, implement data capture, ensure soft real-time operation, fault tolerance, diagnostics, and performance monitoring at fleet scale. Collaborate with cross-functional teams to provide data and interfaces for ML training and edge inference.

Build and maintain Wayve's bespoke embedded Linux distribution and kernel drivers for the on-road development fleet. Develop high-reliability C/C++ systems, enable remote observability and diagnostics, optimize fault tolerance and performance, and collaborate with product, hardware, and field teams to support data collection and on-road experimentation.

Lead Wayve's US public policy strategy, engaging with federal and state agencies to advocate for regulations that support testing and deployment of autonomous vehicles.

As a Staff Cloud Site Reliability Engineer, you will build and scale AI cloud platform reliability, define operational standards, and lead SRE initiatives.

As a Senior Applied Scientist, you will develop generative models for simulating environments, enhancing training and deployment in autonomous driving systems.

Responsible for the integration and validation of AI software on customer hardware platforms, collaborating with internal teams to ensure seamless performance.

The Software Integration Engineer will validate AI software on customer hardware, collaborate with teams for integration, and develop automation for embedded platforms.

The Software Integration Engineer will integrate AI software stack on customer hardware, support system diagnostics, and enhance automotive software performance.

As an Application Software Engineer at Wayve, you will focus on software bring-up and validation of AI technology on customer hardware, collaborating with teams for integration and delivery.

As SecOps Engineering Lead, you'll develop security operations, monitoring, detection, and incident response while managing and implementing security processes and tools.

The Principal Application Software Engineer will lead the integration and validation of AI software on automotive platforms, focusing on hardware interaction and performance in Japan.