Staff Software Engineer - OS, Robot Software

About the role

Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

🛠️ About our Engineering Teams

Wayve’s Robot Software team builds the onboard software used by our development fleet to enable autonomous driving and collect the data needed to train new driving models. The OS team curates Wayve’s bespoke Linux and QNX distributions and works closely with hardware, supply chain, field engineering, reliability, and other Robot Software teams.

You’ll help deliver a reliable, stable, and flexible operating-system platform that lets model developers and scientists iterate quickly while supporting new vehicles, sensors, peripherals, and product features.

🧠 Your day-to-day

- Build and maintain embedded Linux and QNX platform software, kernels, and device drivers.

- Work with product, program, hardware, and engineering stakeholders to choose and deliver the right solutions.

- Develop high-quality C and C++ software that is observable and debuggable on remotely operated vehicles.

- Diagnose performance problems involving stack traces, core dumps, disk I/O, CPU load, memory, devices, and threading.

- Improve fault tolerance, diagnostics, testing, documentation, tooling, and ease of use.

- Mentor teammates and contribute to a strong engineering culture.

🧩 What you’ll be working on

- Wayve’s embedded Linux distribution, including Yocto, kernel configuration, device trees, boot sequence, and secure boot.

- Linux kernel and device-driver support for new sensors, peripherals, and compute platforms.

- High-throughput IPC middleware for robotics applications.

- Robust diagnostics and remote debugging for vehicles with limited connectivity.

- Stable platform software that supports rapid on-road experimentation and fleet operation.

- Integration across NVIDIA Jetson, NVIDIA DRIVE, QNX, and future vehicle-compute platforms.

🙌 You should apply if

- You have strong C and C++ experience building high-performance embedded Linux system software.

- You understand the full development lifecycle, from design through delivery and optimisation.

- You have hands-on knowledge of embedded Linux kernels, device trees, Yocto, boot flows, or user-space systems software.

- You can debug complex performance and reliability problems across system layers.

- You understand IPC mechanisms and middleware used in high-throughput robotics systems.

- You care about testing, documentation, observability, maintainability, and collaboration.

Experience with NVIDIA robotics or automotive platforms, QNX or another RTOS, secure boot, or ROS-style frameworks would be valuable.