Embedded Automotive Platforms, Senior Software Engineer
Wayve · 🇬🇧 London, United Kingdom
Sponsorship Verification Proof
Employer is on the UK Home Office register of licensed sponsors.
UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Wayve Technologies Ltd', London — Skilled Worker; Worker (A rating)
An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.
The job posting also states: “✈️ Relocation support and visa sponsorship where applicable”
- Verification category
- Employer on official sponsor register
- Role category
- Backend
- Last verified
- 2026-10-25
- First indexed
- 2026-10-24
- Posted date
- 2026-10-02
- ATS / Feed source
- Ashby job board
Role Description (Excerpt)
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 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,…
Excerpt only — read the full requirements and apply directly on Wayve's career page. We do not process applications.