Uber to open 2 campuses in India to support product development, operations

Uber is expanding its technology footprint in India with new engineering campuses and a data center partnership aimed at supporting its overall product development and infrastructure operations.

On Thursday, Uber detailed plans to open two new campuses that can fit around 9,600 people in Bengaluru and Hyderabad by the end of 2027. The offices will add to Uber’s existing operations in the two Indian cities, both of which are hubs for software and engineering.

In addition, Uber said it had partnered with Indian conglomerate Adani Group to build its first data center in the country, expected to go online in the fourth quarter of 2026. The announcements were made during Uber CEO Dara Khosrowshahi’s latest visit to India.

Uber currently employs around 3,500 people in India and said it will continue to hire more technical talent as it ramps up AI-related investments globally. The company is hiring for roles spanning generative AI, machine learning, autonomous vehicle operations, and back-end infrastructure.

India has become an important engineering and product development base for global technology companies because of its large software talent pool. For Uber, the expansion comes as the company seeks new growth areas beyond ride-hailing and invests more heavily in AI, automation, and autonomous vehicle technologies. Earlier this year, Uber invested $330 million into its India unit to bolster its footprint in the country.

However, India remains a challenging market for ride-hailing companies because of intense price competition, supply shortages, high driver incentive costs, and changing regulations that have at times disrupted services in some cities. The company is also facing growing competition from local rivals like Rapido, which Khosrowshahi said last year had overtaken Ola as his company’s biggest competitor in the country.

Still, Uber appears to be looking at India as a larger engineering and infrastructure base for its global operations as demand for AI talent and computing capacity grows.

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