Wayve builds an end-to-end AI driver model that runs on standard vehicle hardware across geographies—tested live in over 500 cities spanning Europe, North America, and Japan. The tech stack is embedded-systems focused (C++, Rust, Linux, QNX, AUTOSAR, LiDAR) with cloud observability (Datadog, Prometheus, Grafana, Splunk), signaling deep work on both real-time vehicle control and operational telemetry at scale. Hiring velocity is accelerating with 51 roles posted in the last 30 days—heavily weighted toward senior and manager-tier engineering—alongside active projects in hardware integration, fleet automation, and closed-loop evaluation, indicating a company moving from research toward production deployment and customer vehicle rollouts.
Wayve develops a vehicle-agnostic AI Driver software platform that enables different levels of autonomous driving capability—from advanced driver assistance to fully autonomous robotaxi operations. The platform is designed to run on native vehicle sensors and onboard compute, avoiding heavy custom hardware dependencies. Founded in 2017, the company has scaled to 1,001–5,000 employees across offices in the UK, US, Japan, Germany, Singapore, South Korea, and Israel. Core work spans AI model development, hardware integration with OEM and Tier-1 partners, fleet operations, and regulatory deployment in multiple geographies.
Embedded: C++, Rust, Linux, QNX, AUTOSAR, Yocto, systemd. Cloud & observability: AWS, GCP, Azure, Datadog, Prometheus, Grafana, Splunk. Sensors: LiDAR. AI: CLIP. CI/CD and development: GitHub.
Yes. Wayve delivers autonomy across a spectrum from hands-off and eyes-off driving to robotaxis. The AI Driver platform has been tested as a single global model across 500+ cities in Europe, North America, and Japan.
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