Wayve
Robotics · AV foundation models
- HQ
- London, GB
- Founded
- 2017
- Website
- wayve.ai
Currently tracking 29 active AI roles, up 373% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $284k–$466k (avg $363k).
Wayve currently has 32 active AI-related job listings. The majority of these roles, 59%, are in the application stage. Engineering is the dominant function, with 30 roles listed. The company is hiring in the United States and the United Kingdom. Frequent tech tags include embodied_ai, model_serving, and inference_infra, suggesting a focus on deploying and managing AI models for real-world applications. Wayve has seen a significant increase in new AI roles over the last 30 days, with 15 new positions posted, a 114% increase compared to the previous 30-day period.
Wayve currently has 44 active AI-related roles in our index. The most common open titles are: ADAS Feature Engineer (2), Machine Learning Engineer, App SW (2), Machine Learning Engineering Manager, App SW (2), System Architect - Robotaxi (2), Applied Scientist, Wayve Labs. Most positions are in Engineering and Product.
Wayve's active AI hiring is concentrated in: application (57%), agents (14%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Wayve is hiring AI talent in: United States (26 roles), United Kingdom (15 roles), Japan (4 roles), Germany (4 roles).
Job postings at Wayve most frequently reference: embodied ai, model serving, evals, inference infra, fine tuning.
In the past 30 days, Wayve has posted 28 new AI-related roles. That is a +250% change versus the prior 30 days (8 → 28).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer, Simulation Senior Software Engineer role focused on developing and evaluating Wayve's Embodied AI technology for autonomous driving. The role involves evolving a core component of the simulation platform, integrating classical simulation techniques with machine learning, and working on robot emulator fidelity, visual fidelity, or efficient scaling. Requires strong C++ and Python skills, systems design, and experience with simulation or modern machine learning graphics techniques. | ServeData | 7 |