Embedded Automotive Platforms, Senior Software Engineer

Engg; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Equity

Relocation support

Hybrid working

Learning budget

Job summary

Wayve is building the leading AI platform for autonomous driving, with offices in London and across the globe. This role focuses on high‑performance C++/Python software that interfaces self‑driving models with vehicle and embedded systems.

You will own reliability and performance of core systems, develop testing infrastructure, and collaborate with teams in London, Israel, and the US to enable frequent releases in a hybrid working model.

Qualifications

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

Responsibilities

• Design, build, and maintain core C++/Python software components interfacing autonomy models with vehicle and 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 environments; build tooling for testing and validation.
• Collaborate with the wider org across London, Israel, and the US to integrate changes and support releases.
• Specialise in localisation/navigation/mapping, filtering/diagnostics, or control/inference as applicable.

Skills

C++ proficiency

Python

Linux

Embedded systems

Automotive experience

Job description

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.

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.

The Interview Process

• Initial call / recruiter screen (30 mins)
• Competency Interviews (Programming and hiring manager interview; 1.5 hours total)
• Deep‑dive technical interviews (Systems & domain‑specific interviews; 3 hours total)
• Final interview: Mission & values alignment (45 mins)

What’s in it for you (Location dependant)

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

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