Uday Ruddarraju’s story begins in Hyderabad, where he earned a computer science degree from CBIT. After graduation, his career moved through several well-known technology firms: he worked at eBay, then at Robinhood, before joining Elon Musk’s AI venture, xAI. Each step added layers of experience in building and scaling large-scale systems, a trajectory that would later align with OpenAI’s growing appetite for robust compute infrastructure.
Before his formal elevation, Ruddarraju was already involved with OpenAI’s internal teams. In his own words, he cited "my previous involvement with OpenAI's engineering, construction and technical infrastructure teams" as a reason he expects the leadership transition to be smooth. This prior engagement, mentioned in the quote attached to his appointment, suggests he had been collaborating with the lab’s hardware and facilities groups even before taking the top compute role.
On October 16, 2026, OpenAI announced that Ruddarraju would become its chief technology officer for compute. The brief places this event in 2026, the year noted as his appointment date, and notes that he had joined OpenAI the previous year, in 2025. His mandate is to oversee the company’s infrastructure and computing operations, a responsibility that has grown in urgency as OpenAI ramps up investments in data centers and the specialized hardware required to train and run ever-larger AI models.
The brief places this event in 2026, the year noted as his appointment date, and notes that he had joined OpenAI the previous year, in 2025.
Ruddarraju’s own comment about a smooth transition reflects confidence drawn from his earlier work inside OpenAI’s technical teams. By placing a leader who already knows the lab’s engineering and construction workflows at the helm of compute, OpenAI aims to tighten the link between its model-development ambitions and the concrete systems that bring those models to life. As of the announcement, the company is continuing to expand its data-center footprint, and Ruddarraju’s background—spanning consumer platforms, fintech, and an AI startup—positions him to navigate both the software and hardware challenges that lie ahead.