TLDR: OpenAI has announced the recruitment of four senior engineers from rival AI and tech giants xAI, Tesla, and Meta. These key hires, including specialists in large-scale GPU infrastructure and software development, are set to bolster OpenAI’s ‘scaling team’ and accelerate its ambitious Stargate project, aimed at building next-generation AI supercomputing capabilities. The move intensifies the ongoing talent competition in the AI sector and adds a new dimension to the existing tensions between OpenAI and Elon Musk’s xAI.
San Francisco, CA – July 9, 2025 – OpenAI, a leading force in artificial intelligence research and development, has significantly bolstered its technical infrastructure team with the strategic hiring of four senior engineers from prominent industry players, including Elon Musk’s xAI, Tesla, and Meta. The announcement, initially shared internally by Greg Brockman, OpenAI’s co-founder and head of the scaling division, underscores the company’s aggressive push to enhance its computational backbone amidst an escalating global AI talent war.
The new additions to OpenAI’s ‘scaling team’ are David Lau, formerly the Vice President of Software Engineering at Tesla; Uday Ruddarraju, who served as the head of infrastructure engineering at xAI and X; Mike Dalton, an infrastructure engineer also from xAI; and Angela Fan, a distinguished AI researcher previously with Meta. This influx of top-tier talent is critical for OpenAI as it navigates the exponentially growing demands for computational power and efficiency required to develop and deploy advanced AI models.
A primary focus for these new hires will be the ambitious ‘Stargate’ project, a joint venture aimed at constructing a proprietary, large-scale AI infrastructure designed to support the future loads of Artificial General Intelligence (AGI) with globally distributed computing power. This initiative represents a strategic priority for OpenAI, emphasizing the company’s commitment to building the foundational capabilities necessary for its long-term vision.
Ruddarraju and Dalton bring invaluable experience from their work on xAI’s ‘Colossus,’ a formidable GPU infrastructure reportedly comprising over 200,000 GPUs, which is instrumental in training xAI’s Grok AI models. Commenting on his move, Uday Ruddarraju stated, ‘Infrastructure is where research meets reality, and OpenAI has already demonstrated this successfully.’ He further added, ‘Stargate, in particular, is an infrastructure moonshot that perfectly matches the ambitious, systems-level challenges I love taking on.’ David Lau’s background includes leading software development at Tesla, while Angela Fan’s expertise lies in the creation and training of large-scale language models from her tenure at Meta.
An OpenAI spokesperson, Hannah Wong, quoted by WIRED, expressed enthusiasm for the new team members: ‘We’re excited to welcome these new members to our scaling team. Our approach is to continue building and bringing together world-class infrastructure, research, and product teams to accelerate our mission and deliver the benefits of AI to hundreds of millions of people.’
This recruitment drive intensifies the already heated competition for AI talent across the industry. The move is particularly notable given the existing tensions and legal disputes between OpenAI and Elon Musk, who has publicly criticized OpenAI’s shift from its original non-profit mission. The arrival of engineers directly from xAI could further fuel these symbolic and legal frictions.
The hires also come at a time when Meta has been actively recruiting engineers and researchers from OpenAI, with reports suggesting substantial signing bonuses, some reportedly reaching $100 million. OpenAI CEO Sam Altman, when asked about such departures, remarked, ‘Obviously, some people will go to different places. There’s a lot of excitement in the industry,’ indicating he felt ‘fine’ about the movements. However, Joaquin Quiñonero Candela, OpenAI’s head of recruiting, recently criticized what he termed ‘unethical’ recruitment tactics involving ‘exploding offers’ with short expiration windows.
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The strategic importance of computing infrastructure in the generative AI landscape cannot be overstated. As global competition increasingly hinges on the ability to train and deploy AI models at scale, strengthening this technical backbone is paramount for companies aiming to maintain their competitive edge and advance towards AGI. This latest round of hires by OpenAI underscores its determination to invest heavily in the underlying systems that power its groundbreaking research and production activities.
