Embedded Automotive Platforms Software Engineer

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.

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