Business & policy

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

At a glance:

  • Uber will open two new campuses in Bengaluru and Hyderabad by the end of 2027, each capable of housing about 4,800 employees.
  • The company will partner with Adani Group to build its first Indian data center, slated for launch in Q4 2026.
  • Expansion aims to support AI, autonomous vehicle and infrastructure growth across India.

Expansion details

The new campuses will be located in Bengaluru and Hyderabad, two of India’s largest technology hubs. Each site is designed to accommodate approximately 4,800 employees, bringing the total capacity to around 9,600 across both locations. Construction is slated to begin immediately, with completion targeted for the end of 2027.

These facilities will join Uber’s existing offices in the same cities, creating a consolidated engineering footprint that can support product development and operational scaling. The expansion is expected to generate thousands of direct and indirect jobs during the build‑out phase. Analysts view the move as a strategic step to deepen Uber’s talent pipeline in a market that contributes significantly to its global engineering budget.

Data center partnership

Uber has selected the Adani Group as its partner for the country’s first dedicated data center, a project that will be built in the western part of India. The facility is scheduled to become operational in the fourth quarter of 2026, providing the compute resources needed for large‑scale AI training and autonomous‑vehicle simulations. This infrastructure will also serve as a regional hub for Uber’s cloud‑based services across Asia.

The data center is intended to reduce latency for Indian users and to support the company’s expanding portfolio of AI‑driven features, such as dynamic pricing and route optimization. By hosting workloads locally, Uber can better comply with emerging data‑privacy regulations while maintaining performance standards. The partnership also underscores a broader trend of tech firms collaborating with domestic conglomerates to bolster digital infrastructure.

Talent and AI investments

Uber is actively recruiting for roles that span generative AI, machine learning, autonomous vehicle operations, and back‑end infrastructure engineering. The hiring spree is part of a global push to embed AI across its product suite, from personalized ride recommendations to safety analytics. These positions will be distributed across the new campuses and existing sites to ensure a coordinated talent pool.

The company disclosed that it invested $330 million into its Indian unit earlier this year, a figure that will be supplemented by ongoing recruitment budgets aimed at securing top AI talent. This financial commitment reflects Uber’s belief that India can serve as a critical testing ground for AI innovations that can be rolled out worldwide. The move also aligns with the firm’s strategy to diversify its growth engines beyond traditional ride‑hailing revenues.

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FAQ

When will Uber’s new campuses in Bengaluru and Hyderabad be operational?
Uber expects the two new campuses to become operational by the end of 2027. The facilities are designed to accommodate roughly 9,600 staff members across the two locations. This timeline aligns with the company's broader roadmap for scaling its engineering and operational teams in the region.
Which partner is providing the data center infrastructure in India?
The data center will be built in partnership with the Adani Group, a major Indian conglomerate. Construction is scheduled to begin soon, with the facility planned to go online in the fourth quarter of 2026. Once operational, the center will provide the computing power needed for Uber's expanding AI and autonomous vehicle projects.
What types of roles is Uber hiring for in India as part of its AI push?
Uber is actively hiring for a range of technical roles to support its AI ambitions in India. Open positions span generative AI research, machine learning engineering, and infrastructure development for autonomous vehicle systems. The recruitment drive is part of a global effort to secure talent as the company invests heavily in AI‑driven technologies.

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