Embedded Automotive Platforms Software Engineer

Salary: £60,000 - 60,000 per year

Requirements:

• We require a bachelors degree in Computer Science, Electrical Engineering, or a related technical field.
• We require proven experience in embedded software development, with a strong preference for automotive, autonomous driving, or robotics experience.
• We require proficiency in C++ for high-performance systems.
• We require hands-on experience with embedded operating systems such as Linux or QNX.
• We require a strong understanding of middleware architectures and IPC mechanisms.
• We require proficiency with profiling and tracing tools to diagnose bottlenecks and latency issues.
• We require familiarity with hardware abstraction layers (HAL) and device driver development.
• We require strong debugging skills and attention to detail in complex systems.
• We require excellent communication and teamwork skills.
• We require the ability to work in a fast-paced, dynamic environment.
• We prefer prior experience developing and deploying autonomous vehicle, robotics, or other safety-critical software on production systems.
• We prefer experience with NVIDIA Drive Orin, Qualcomm automotive platforms, or similar embedded computing platforms.
• We prefer experience with inference, localisation, control algorithms, navigation, odometry, or vehicle interfaces.
• We prefer knowledge of sensor technologies such as LiDAR, RADAR, and cameras.
• We prefer experience developing platform SDKs, APIs, or software frameworks used by internal teams or external partners.
• We prefer understanding of safety-critical software development and automotive standards such as ISO 26262, AUTOSAR, or MISRA.

Responsibilities:

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

Technologies:

• AI
• AUTOSAR
• Embedded
• Hardware
• Linux
• Robotics
• C++

More:

We are Wayve, founded in 2017 and a leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, improving the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward, and we build intelligent, mapless, hardware-agnostic AI products for automakers to accelerate the transition from assisted to automated driving. We are a fast-paced, inclusive company that values diversity, new perspectives, and collaboration, and we believe big problems and uncertainty drive groundbreaking solutions. This is a full-time Embedded Automotive Platforms Software Engineer role based in London. We offer a hybrid working policy with time in our offices and workshops, time working from home, and core working hours to help you set the schedule that works best for you and your team. We are committed to an inclusive interview experience and a respectful, fair culture that supports people from all backgrounds.

last updated 36 week of 2026