Meta is expanding its AI infrastructure strategy beyond engineering, signaling a push to treat compute as a scarce, strategic resource that must be actively managed.
In a new post on X, Daniel Gross of Meta Superintelligence Labs says he is building a dedicated compute desk inside the company, hiring a group of experts to forecast and manage massive resource constraints tied to artificial intelligence.
Gross says the effort is drawing talent from domains that traditionally sit far outside software engineering, reflecting how AI scale is increasingly bound by physical and geopolitical limits rather than algorithms alone.
“I am building out Meta’s compute desk. I am looking for folks with a background in any of: deep learning, supply chains, commodities, semiconductors, sovereigns, energy, Excel, prediction markets, monitoring situations, etc. Candidates should have experience in at least one of these domains, and novel ideas on how to apply LLMs to their work.”
Gross makes clear the scale of responsibility involved, tying the role directly to Meta’s capital allocation and long-term AI competitiveness.
“If you’d like to help manage $100 billion+ of compute spend, please DM and include information about why you’re a fit. If you’re in doubt about being a good fit please apply. Epistemic humility is in short supply these days.”
Earlier this week, Meta announced the creation of Meta Compute, an initiative that will be spearheaded by Gross himself. According to Meta CEO Mark Zuckerberg, Meta Compute is aligned with the social media giant’s long-term AI vision of delivering personal superintelligence to billions of users around the globe.
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