Uber opens two campuses in India to support product and operations development

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

On Thursday, Uber detailed plans to open two new campuses that can accommodate about 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 software and engineering hubs.

Additionally, Uber said it has partnered with Indian conglomerate Adani Group to build its first data center in the country, which is expected to come online in the fourth quarter of 2026. The announcements were made during Uber CEO Dara Khosrowshahi’s recent visit to India.

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

India has become an important engineering and product development base for global technology companies due to its large pool of software talent. For Uber, the expansion comes as the company seeks new growth areas beyond ride-hailing services and invests more in artificial intelligence, automation and self-driving vehicle technologies. Earlier this year, Uber invested $330 million in its India unit to strengthen its presence in the country.

However, India remains a challenging market for passenger carriers due to intense price competition, supply shortages, high driver incentive costs, and changing regulations that have at times disrupted services in some cities. The company also faces increasing competition from local rivals such as Rapido, which Khosrowshahi said last year had overtaken Ola as his company’s biggest competitor in the country.

However, 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 power grows.