Software Engineer, Embedded Automotive Platform

Company: wayve
Apply for the Software Engineer, Embedded Automotive Platform
Location: London
Job Description:

Overview

In this role, you will design and implement high-performance C++ software for the Wayve Driver core and its platform-adaptation layers. You’ll develop embedded applications on Linux, QNX and other RTOS, and validate the autonomy stack on automotive reference platforms and Wayve’s fleet. You’ll profile and optimize cross-boundary performance, owning features end-to-end from design to production support. You’ll collaborate with distributed teams across Israel, the UK and the US to deliver automotive-grade software that scales across platforms. This is a hands-on, impact-driven opportunity to advance Wayve’s driver technology on real vehicles.

Pay / Benefits

  • salaries benchmarked against the market
  • equity and ownership in Wayve
  • relocation support and visa sponsorship
  • hybrid working with core hours
  • learning and development budgets
  • comprehensive health and wellbeing benefits

Responsibilities

  • Design and implement modern C++17/20 software for the Wayve Driver core and platform-adaptation applications
  • Develop embedded application and middleware software on Linux, QNX and other RTOS
  • Integrate and validate the autonomy stack on automotive reference platforms and Wayve’s internal fleet
  • Profile, debug and improve performance across application, middleware and OS boundaries
  • Own features end to end, from design and implementation through testing, integration and production support
  • Collaborate with distributed engineering teams and customer programmes across Israel, the UK and the US

Key requirements

  • Strong hands-on experience designing and implementing high-performance production systems in modern C++
  • Embedded Linux, QNX or another RTOS experience
  • Understanding of middleware architectures and IPC
  • Experience in automotive, autonomous driving or robotics including sensor integration
  • Proficiency with profiling, tracing and debugging tools to diagnose bottlenecks and latency
  • Track record of owning software through design, implementation, testing, integration and production support
  • Familiarity with Hardware Abstraction Layers, device-driver integration, NVIDIA or Qualcomm automotive platforms, or standards such as ISO 26262, AUTOSAR and MISRA (advantage)
  • cross-functional collaboration
  • ownership and accountability
  • problem solving under complex system constraints
  • C++17/20 production software
  • embedded Linux / QNX / RTOS
  • middleware architectures and IPC

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Posted: October 22nd, 2026