Wayve Hires VPs for AI Platform and Simulation

- The new hires, Girish Venkataramani and Brandon Basso, bring experience from key players in the AV and AI hardware space; Venkataramani led deep learning compiler teams at NVIDIA and built machine learning deployment infrastructure at Cruise, while Basso held senior leadership roles at Cruise and General Motors, supporting commercial driverless robotaxi services. - These appointments follow Wayve's recent $1.2 billion Series D funding round, which brought its valuation to $8.6 billion and included strategic investments from NVIDIA, Microsoft, and Uber. This influx of capital is aimed at shifting the company from a research focus to the scaled commercial deployment of its autonomous driving systems. - Wayve's technical approach, termed "embodied AI" or AV2.0, differs from the traditional "sense-plan-act" architecture in autonomous vehicles. It utilizes a single neural network to learn from driving data, aiming to eliminate the need for extensive hand-coded rules and high-definition maps. - The company has active partnerships with major automotive and technology companies to accelerate its go-to-market strategy. In December 2025, Wayve signed an agreement with Nissan to integrate its AI-driven software into mass-produced vehicles. - Wayve is also collaborating with Uber to launch commercial robotaxi trials, with the first service planned for London in 2026 and expansion to more than 10 global markets. This partnership will utilize Wayve's AI Driver in vehicles owned and operated by Uber. - The company's technology is designed to be hardware-agnostic, running on a vehicle's onboard computer and existing sensors. This strategy is intended to lower the barrier to entry for automotive OEMs and enable faster global scaling. - To prove the scalability of its mapless approach, Wayve conducted a demonstration driving a vehicle with the same AI model in over 500 cities across Europe, North America, and Japan without location-specific engineering.