Waymo appears to be gearing up for a robotaxi launch in Germany, focusing on Munich with parallel preparations in Berlin. The rollout seems staged, beginning with vehicle arrivals and manual mapping, followed by test drives, insurance partnerships and phased commercial deployment.
Public reports note the arrival of Jaguar I‑PACE vehicles in Munich and a partnership with Allianz Partners for insurance and safety‑research infrastructure. Additional reporting references mapping efforts in Berlin with up to 50 vehicles.
Reporting said Waymo's first robotaxis have arrived in Munich, with at least 10 Jaguar I-PACE vehicles seen near the city and some already being driven manually by trained staff before appearing on Munich streets for testing in the coming weeks.
Allianz Partners announced a Europe-focused collaboration with Waymo covering insurance, claims, safety research and vehicle recovery, and said Waymo plans phased commercial deployment beginning in Germany.
Reporting said Waymo partnered with Allianz Partners to build European insurance, claims-handling and safety-research infrastructure for autonomous ride-hailing, including fleet coverage, liability protection and digital claims handling, with Munich described as the first EU market.
Reporting said Waymo appears to be preparing Berlin in parallel with Munich, citing Berlin Senate documents that discussed mapping the city with up to 50 vehicles in test mode and testing specially equipped cars on roads before the end of 2026.
Munich's economic-development site said Waymo is making Munich its first German driverless ride-hailing city and that initial test drives are expected in the coming weeks.
Waymo appears to be moving toward a more vertically integrated autonomous‑vehicle hardware stack, adding a custom sensor‑fusion processor while maintaining a broad supplier ecosystem.
Public signs include disclosures of a purpose‑built 5 nm chip for front‑end sensor processing, presentations of a custom processor at Hot Chips 2026, and statements that the chip works alongside components from Nvidia, AMD, Micron, Samsung, SanDisk, Socionext and TSMC, indicating a co‑designed approach rather than a fully in‑house stack.
Driving Vision News reported that Waymo disclosed a purpose‑built 5 nm chip for the front end of the Waymo Driver, processing raw camera, lidar and radar data and running machine‑learning models before information reaches the main driving computer.
A technical report said Waymo presented a custom processor for the sensor‑fusion stage of its autonomous‑driving system at Hot Chips 2026, designed around camera, lidar and radar workloads.
The official Hot Chips 2026 program listed two Waymo talks on autonomous‑driving compute, including one specifically on a Waymo sensor‑fusion processor.
Reporting said Waymo's custom 5 nm chip sits inside a broader system that still uses Nvidia, AMD, Micron, Samsung, Sandisk, Socionext and TSMC technology, indicating a co‑designed supplier ecosystem rather than a fully in‑house compute stack.
Automotive World reported that Waymo framed its custom chip as additive rather than a break from existing suppliers, with AMD, Micron, Nvidia, Samsung, SanDisk and Socionext remaining collaborators.
Waymo described its engineering compute approach for fully autonomous driving and named a broad supplier group across compute, memory and semiconductor manufacturing, indicating a more deliberate AV compute supply‑chain architecture.
Waymo appears to be strengthening its autonomous‑driving AI capabilities by adding senior technical roles focused on foundation models, agentic AI engineering, and next‑generation post‑training systems. The effort seems aimed at scaling the Waymo Driver across more miles, vehicle platforms, geographies and operating conditions.
Public signals include multiple senior hires for foundation‑model data workflows, production integration and evaluation, as well as statements describing a strategy that consolidates around fewer, higher‑capacity specialized foundation models while retaining multimodal sensor inputs and a rigorous evaluation process.
Waymo is hiring a Principal Software Engineer for Post Training to develop and lead a next‑generation post‑training system for the Waymo Driver, explicitly tied to scaling to more miles and locations worldwide.
Waymo is hiring a Staff ML Engineer for Foundation Models to connect large‑scale foundation models with production systems and adapt models to new sensors, platforms and production requirements.
Waymo is hiring a Senior Staff Engineer for Agentic AI Engineering to build production‑grade agentic AI systems and evaluation frameworks for long‑tail Waymo Driver behaviors across vehicles, platforms, geographies and weather conditions.
Waymo is hiring a Director, Foundation Model Data Recipes in San Francisco, indicating senior‑level ownership of data workflows for foundation‑model development.
Waymo described its autonomous‑driving AI strategy as consolidating around fewer, higher‑capacity specialized foundation models that use large datasets and compute, while noting that multimodal sensors remain indispensable.
Waymo described an evaluation‑centric development process for AI projects, saying systems should not move into production until performance can be reliably measured.
Waymo appears to be expanding its commercial rider‑acquisition toolkit with more sophisticated pricing, membership tiers and incentive programs. The company is adding new roles to support data‑driven marketing and marketplace pricing, and is testing payment‑linked rewards and a transit‑linked cash‑back program.
Public signs include the rollout of a pilot transit rewards program, the launch of a Premier membership, and staged rider access in multiple cities, alongside new hires focused on paid‑media performance and marketplace pricing.
Reporting said Waymo is testing the Bay Area transit rewards program with employees and plans to roll it out publicly in the coming weeks.
Waymo is hiring a Staff Product Data Scientist for Paid Media to connect marketing performance to business outcomes, build LTV/CAC frameworks, measure promotions and referrals, and run incrementality programs such as geo holdouts and media mix modeling.
Waymo announced a San Francisco Bay Area transit rewards program that automatically gives riders $2.85 in Waymo Cash when they use a Visa card for a Waymo trip and a public transit trip within two hours of each other.
Waymo began public rider access in Denver, San Diego and Tampa through a staged rollout, citing tens of thousands of app signups in each city and a plan to steadily expand access.
Waymo described Premier as part of scaling and refining its fully autonomous ride‑hailing experience, with priority matching, ride savings, early access to new cities and extra rewards during busy periods.
Waymo appears to be expanding its focus on the interior of its robotaxi fleet, adding upgraded materials, new screens and AI‑driven features. The company is also hiring for interior engineering.
Public signals include the unveiling of a silver Ojai with leatherette seats and a wireless charger, the rollout of the Ojai to paying riders in several cities, the integration of Gemini‑powered assistance in the cabin, and a hiring announcement for an interior‑related position.
Waymo unveiled a silver version of the Ojai robotaxi with a reworked interior, including leatherette seats, carpeted flooring, a wireless phone charger, rear armrests and updated trim.
Waymo opened its next‑generation Ojai robotaxi to all paying customers in San Francisco, Los Angeles, and Phoenix, with about 300 Ojai vehicles in service.
A firsthand Ojai ride report observed three screens, more cabin space and rider‑specific localization, including the car carrying over the rider's phone language setting into the Waymo experience.
Paldo wrote this page from the public sources linked above. What a company appears to intend is our reading and may be wrong. If something is out of date, tell us.
