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Home / Stellantis, NVIDIA, Uber and Foxconn Unite on Level 4 Robotaxis

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When giants collide, roads change. On October 28, 2025 Stellantis declared an historic partnership with NVIDIA, Uber Technologies, Inc. and Foxconn to collaboratively develop the next generation robotaxis fully autonomous vehicles aiming to reach Level 4 driverless technology. This partnership is not only aimed at creating self-driving cars, but rather at creating a ride-hailing system that would operate under the force of the individual advantages of partners.

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Stellantis, NVIDIA, Uber and Foxconn Unite on Level 4 Robotaxis

Stellantis, the global automaker whose brands range from Jeep to Peugeot, brings its vehicle engineering and manufacturing capacity to the table. In its announcement, the company emphasized its “AV-Ready Platforms” — notably the K0 Medium Size Van and STLA Small platforms — engineered to support Level 4 autonomy and be flexible for multiple passenger use cases. NVIDIA contributes its DRIVE AGX Hyperion 10 architecture, including the safety-certified DriveOS operating system and the full-stack DRIVE AV software suite, with capabilities purpose-built to enable Level 4 driving and parking functions. Foxconn enters as the hardware and systems integrator specialist—providing the necessary high-performance computing, sensor integration, and electronics manufacturing muscle that will tie together the vehicle platform, AI computing, and ride-hailing service. Uber will serve as the operational end-game: the robotaxis built by Stellantis and powered by NVIDIA’s software and Foxconn’s hardware will be deployed via Uber’s ride-hailing infrastructure, beginning in select U.S. cities and moving worldwide.

Core to the effort is a target deployment of at least 5,000 autonomous vehicles, starting with U.S. operations, with formal start-of-production slated for 2028. The roadmap states that the vehicles would operate without a human driver under defined conditions-such reflects Level 4 autonomy-and would comprise the first wave of a scalable robotaxi fleet. The goal is economies of scale, by bringing together under one roof the manufacturing of automobiles, the computing of AI, the systems integration, and mobility operations-something quite different from fragmented efforts of the past.

The information outlines the way in which responsibility is divided by the partnership. Stellantis will design and engineer the vehicles derived from its existing AV-ready platforms, then manufacture them; NVIDIA will supply and integrate its DRIVE AV software and Hyperion architecture into those vehicles; Foxconn will undertake the hardware systems integration to ensure that the vehicles meet sensor, computing, and redundancy demands; Uber will manage fleet operations: charging, cleaning, remote assistance, dispatch, and customer support, making the robotaxis available to riders. It’s an end-to-end chain, from vehicle build to rider pickup, but it’s relatively unusual for such a number of players to be so serious about making robotaxis commercially viable as opposed to mere lab experiments.

Why is this meaningful? Technological, regulatory and economic factors have in recent years dampened Robotaxi ambitions. The established manufacturers reduced their scale, and the technology players such as Waymo and Cruise took the lead. The new alliance between Stellantis, NVIDIA, Uber, and Foxconn is illustrative of a different approach: not a single company doing everything, but each bringing in a core competence. The result could be faster deployment, lower cost-of-ownership, and autonomous ride-hailing much sooner than you might expect. In fact, Stellantis framed the collaboration as crucial in establishing “safe, efficient and affordable robotaxi services for everyone.”

Of course, there are caveats: a non-binding Memorandum of Understanding underpins this effort, so the framework is set, but much still must be agreed on and validated as the technology, production readiness, and regulation converge. Further, true Level 4 operation at scale remains an engineering, regulatory, and operational challenge. Having unified OEM manufacturing strength (Stellantis), AI computing (NVIDIA), system integration (Foxconn), and ride-hailing operations together, this alliance sets itself up more strongly than many standalone efforts.

In all, the robotaxi fleet of the future will not only ride on autonomous technology but on strategic cooperation, too. Marking a clear point in the autonomous mobility landscape, this joint venture starts with a targeted 5,000 vehicles manufactured from 2028 onwards. With Stellantis’ platforms, NVIDIA’s drive stack, Foxconn’s manufacturing integration, and Uber’s global network, the quartet is trying to change not just how cars are built but how we call them.