Software Engineer, Embedded Automotive Platform

Overview

In this role you will design and implement high-performance C++ software for the Wayve Driver core and its platform-adaptation layers. You will develop embedded applications on Linux, QNX and 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 work with distributed teams across multiple regions to advance a hardware-agnostic autonomous driving platform with real-world impact.

Pay / Benefits

• Salaries benchmarked against market
• Meaningful equity
• 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++ software for the Wayve Driver core and platform-adaptation applications
• Develop embedded applications on Linux, QNX and other RTOS
• Integrate and validate the autonomy stack on automotive reference platforms and Wayve’s fleet
• Profile, debug and improve performance across application, middleware and OS boundaries
• Own features end to end from design through production support
• Collaborate with distributed engineering teams and customer programmes across Israel, the UK and the US
• Work on production core and adaptation layers for different vehicle and compute platforms
• Integrate with automotive compute platforms like NVIDIA DRIVE Orin and Qualcomm 8650/8620

Key requirements

• Strong hands-on experience designing and implementing high-performance production systems in modern C++
• Experience developing application or middleware software on embedded Linux, QNX or another RTOS
• Understanding of middleware architectures and inter-process communication mechanisms
• Experience in automotive, autonomous driving or robotics, including vehicle development and sensor integration
• Ability to use profiling, tracing and debugging tools to diagnose bottlenecks and complex issues
• 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 ISO 26262, AUTOSAR and MISRA is advantageous

• Collaborative cross-functional communication
• Problem-solving and analytical thinking
• Ownership and accountability
• Modern C++ (C++17/20)
• Embedded Linux and QNX
• Real-time OS concepts and IPC

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