Wayve
Robotics · AV foundation models
- HQ
- London, GB
- Founded
- 2017
- Website
- wayve.ai
Currently tracking 44 active AI roles, down 27% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $204k–$580k (avg $337k).
Wayve currently has 52 active AI-related job listings. The majority of these roles, 44%, are in the application stage, with another 23% focused on data. Engineering is the most frequent function, and the United States and the United Kingdom are the top hiring countries. Frequent tech tags include embodied_ai, model_serving, and evals, suggesting a focus on deploying and evaluating AI models for real-world applications. Over the last 30 days, Wayve posted 10 new AI roles, a 37% decrease compared to the previous 30-day period.
Wayve currently has 8 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer, Machine Learning Engineer, App SW, Machine Learning Manager, App SW, Principal Engineer, Data & Compute, Register your interest for Wayve in Germany. Most positions are in Engineering and Product.
Wayve's active AI hiring is concentrated in: application (63%), data (25%), serving infrastructure (13%). 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 (4 roles), United Kingdom (2 roles), Japan (2 roles), Germany (2 roles).
Job postings at Wayve most frequently mention: Machine Learning, Performance Optimization, Autonomous Driving, System Design, Simulation.
In the past 30 days, Wayve has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Staff ML Performance Engineer (Training Efficiency) Staff ML Performance Engineer focused on optimizing large-scale ML training and inference workloads for Embodied AI technology in autonomous driving systems. The role involves profiling ML jobs, designing and implementing efficiency improvements (parallelism, model compilation, mixed precision), developing observability tools, and creating benchmarking tools to track performance gains. Collaboration with Research teams is key to integrate efficiency improvements and foster a performance optimization culture. | DataServe | 9 |
| Vehicle Safety Operator This role supports the development of AI driving systems by operating autonomous vehicles, evaluating their behavior, and providing feedback to engineering teams. Responsibilities include on-road testing, data collection, and ensuring safety standards. The role requires strong driving experience, communication skills, and adaptability. |
| Data |
| 5 |