The role

As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automotive embedded hardware and Wayve Driving Model. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently.

Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform.

You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.

Key responsibilities:

Design, develop, and maintain embedded software, SDKs, APIs, and hardware abstraction layers that enable autonomous driving capabilities to run consistently across automotive platforms.
Integrate and adapt critical AV functions, including inference, navigation, control, localisation, and vehicle interfaces.
Work across Linux and QNX-based systems while minimising platform-specific customisation.
Debug, troubleshoot, and improve software and system performance, ensuring reliability, scalability, and operational excellence across production and development fleets.
Collaborate with cross-functional teams, hardware vendors, and automotive partners to define requirements and ensure seamless integration with the autonomous driving stack.
Participate in architecture reviews, testing, code reviews, documentation, and automotive software quality processes to maintain high engineering standards.

About you

In order to set you up for success as an Embedded Automotive Platforms Software Engineer at Wayve, we’re looking for the following skills and experience.

Essential

Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field
Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries
Proficiency in C++ programming language for high-performance systems
Hands-on experience with embedded operating systems (e.g., Linux, QNX)
Strong understanding of middleware architectures and IPC mechanisms
Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues
Familiarity with hardware abstraction layers (HAL) and device driver development
Strong debugging skills and attention to detail in complex systems
Excellent communication and teamwork skills
Ability to work in a fast-paced and dynamic environment

Desirable

Prior experience developing and deploying autonomous vehicle, robotics, or other safety-critical software on production systems
Experience with NVIDIA Drive Orin, Qualcomm automotive platforms, or similar embedded computing platforms
Experience with inference, localisation, control algorithms, navigation, odometry or vehicle interfaces will be a huge plus
Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras)
Experience developing platform SDKs, APIs, or software frameworks used by internal teams or external partners
Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA)

This is a full-time role based in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.