Senior Software Engineer – OS, Robot Software

Overview

As part of Wayve’s Robot Software team, you will shape the onboard OS platform for autonomous vehicles, enabling rapid model iteration and fleet-scale experimentation. You’ll own embedded Linux and QNX software, kernel work, and device drivers, collaborating with cross-functional teams to deliver a stable, flexible platform. Your work focuses on high-performance, observable C/C++ code and robust diagnostics to support limited-connectivity remote debugging. You will contribute to a culture of quality, mentorship, and engineering excellence while advancing the autonomy stack at scale. This role offers meaningful impact at the heart of Wayve’s mission to universalize autonomous driving.

Pay / Benefits

• salary benchmarking
• meaningful equity
• relocation support and visa sponsorship
• hybrid working with core hours
• learning and development budgets
• comprehensive health and wellbeing benefits

Responsibilities

• Build and maintain embedded Linux and QNX platform software, kernels, and device drivers
• Collaborate with product, hardware, and software stakeholders to deliver optimal solutions
• Develop high-quality C and C++ software that is observable and debuggable on vehicles
• Diagnose performance and reliability issues across system components
• Improve fault tolerance, diagnostics, testing, documentation, tooling, and usability
• Mentor teammates and contribute to engineering culture
• Work on Yocto-based embedded Linux distribution, kernel configuration, and boot sequence
• Support hardware integrations and high-throughput IPC middleware for robotics
• Provide robust diagnostics and remote debugging for vehicles with limited connectivity

Key requirements

• Strong C and C++ experience for high-performance embedded Linux systems
• End-to-end development lifecycle experience from design to delivery and optimization
• Hands-on knowledge of embedded Linux kernels, device trees, Yocto, boot flows, or user-space systems software
• Ability to debug complex performance and reliability problems across layers
• Understanding of IPC mechanisms and middleware used in high-throughput robotics
• Commitment to testing, observability, maintainability, and collaboration
• Experience with NVIDIA robotics or automotive platforms, QNX or other RTOS, secure boot, or ROS-style frameworks is valuable

• strong collaboration
• mentorship
• problem-solving
• embedded Linux
• Linux kernel
• Yocto

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