Staff Software Engineer – OS, Robot Software

Overview

Join Wayve’s Robot Software OS team to deliver a stable, flexible embedded platform for autonomous vehicles. You’ll build and maintain Linux and QNX-based system software, kernels, and drivers to support new sensors and vehicle compute platforms. You’ll work with cross-functional partners to ship observable, debuggable software and improve diagnostics, testing, and reliability. You’ll mentor peers and help shape a pragmatic engineering culture. This role offers impact across fleet-scale experimentation and ongoing vehicle deployment.

Pay / Benefits

• Meaningful equity
• Relocation support and visa sponsorship where applicable
• Hybrid working model
• Learning and development budgets
• Comprehensive benefits (health insurance, dental, enhanced maternity/paternity leave)
• Access to labs and vehicle workshops

Responsibilities

• Build and maintain embedded Linux and QNX platform software, kernels, and device drivers
• Collaborate with product, hardware, and engineering stakeholders to deliver solutions
• Develop high-quality C and C++ software that is observable and debuggable on remotely operated vehicles
• Diagnose performance problems across stack: stack traces, core dumps, I/O, CPU, memory, devices, threading
• Improve fault tolerance, diagnostics, testing, documentation, tooling, and usability
• Mentor teammates and contribute to a strong engineering culture
• Work on embedded Linux distribution components (Yocto) and kernel configurations
• Provide Linux kernel and device-driver support for sensors, peripherals, and compute platforms
• Develop high-throughput IPC middleware for robotics applications
• Enable robust diagnostics and remote debugging for vehicles with limited connectivity
• Ensure stable platform software supports rapid on-road experimentation and fleet operation
• Coordinate integration across NVIDIA Jetson, NVIDIA DRIVE, QNX, and future platforms

Key requirements

• Strong C and C++ experience in high-performance embedded Linux system software
• Full development lifecycle understanding 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 issues across system layers
• Understanding of IPC mechanisms and middleware used in high-throughput robotics systems
• Commitment to testing, documentation, observability, maintainability, and collaboration
• Experience with NVIDIA robotics or automotive platforms, QNX or other RTOS, secure boot, or ROS-style frameworks (beneficial)

• Collaboration
• Mentoring and leadership
• Problem-solving under constraints
• Embedded Linux kernel
• Yocto project
• Device trees

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