Embedded Automotive Platforms, Senior Software Engineer

Wayve; Greater London; Hybrid; GBP 85,000 - 130,000; Full time

Job summary

Wayve is building the leading AI platform for autonomous driving. We are seeking engineers to design, build, and maintain core C++/Python software that interfaces autonomy models with vehicle and embedded systems.

You will own reliability and performance of key systems across Linux environments, build tooling and diagnostics for testing and validation, and collaborate with teams in London, Israel, and the US to integrate changes and support releases.

Qualifications

• Exceptional C++ proficiency with production-quality code.
• Strong Python skills for tooling, integration, and tests.
• Solid Linux experience for development, debugging and deployment.
• Familiarity with embedded systems interfacing software with hardware or vehicle systems.
• Automotive experience is a strong plus, but not required.

Responsibilities

• Build and maintain core C++/Python software components that interface autonomy models with vehicle and embedded systems.
• Develop infrastructure to run, test, and validate self-driving capabilities separate from ML model development.
• Own reliability and performance of key systems across Linux-based environments and build tooling/diagnostics for testing.

Skills

C++ proficiency

Python

Linux

Embedded systems

Automotive experience

Job description

About our Engineering Teams

Production Software sits within Vehicle SW Engineering and builds the core software infrastructure that lets self-driving models interface with vehicles, be tested, and run safely in production. As part of a team restructure, this role is a high-impact opportunity to help define foundational components and engineering practices as the team scales to roughly 5-6 engineers. You will work on mission-critical, performance-sensitive systems that sit between advanced ML models and embedded/vehicle platforms, with the opportunity to specialise in mapping/navigation, filtering/diagnostics, or control/inference while still collaborating across domains.

Your day-to-day

Build and maintain core C++/Python software components that interface with autonomy models and vehicle/embedded systems.

Develop infrastructure to communicate with, run, and test self-driving capabilities, separate from ML model development.

Own reliability and performance of key systems across Linux-based environments, and contribute to tooling and diagnostics for testing and validation.

Partner with the wider org, distributed across London, Israel, and the US, to integrate changes and support releases.

Depending on the specific role, focus primarily on one domain area: localisation/navigation/mapping, filtering/diagnostics, or control/inference.

What you'll be working on

Design, build, and maintain core C++/Python software components that interface self-driving models with vehicle and embedded systems.

Build and run infrastructure to communicate with, run, and test self-driving capabilities, kept separate from ML model development itself.

Own the reliability and performance of key systems across Linux-based environments, and build tooling and diagnostics for testing and validation.

Partner with the wider org, distributed across London, Israel, and the US, to integrate changes, resolve cross-team issues, and support releases.

Specialise in one domain area, depending on the role, such as localisation/navigation/mapping, filtering/diagnostics, or control/inference, while

You should apply if

• Exceptional C++ proficiency, with a track record of writing performance-sensitive, production-quality code.
• Strong Python skills for tooling, integration, and/or test infrastructure.
• Solid Linux experience, including development, debugging, and operating in Linux environments.
• Embedded systems familiarity, with experience interfacing software with hardware or vehicle systems.
• Automotive experience is a strong plus, but not required.

Not ticking every box? That's totally okay! If you're passionate about autonomy and keen to learn, we encourage you to apply even if you don't meet every requirement.

More about Wayve

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.

Our ambition is to make autonomy universal. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work - Locations & Flexible Working

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.