After CEO Jensen Huang said he wants employees to stop coding, Nvidia give all its 30,000 engineers access to…

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After CEO Jensen Huang said he wants employees to stop coding, Nvidia give all its 30,000 engineers access to…
Nvidia has equipped all 30,000 engineers with OpenAI’s advanced AI coding tool, Codex, a significant enterprise rollout. This move aligns with CEO Jensen Huang’s vision to automate tasks, freeing engineers to focus on problem-solving. Engineers are reportedly impressed with Codex’s ability to maintain context during complex coding sessions, highlighting its efficiency and advanced capabilities.

Nvidia has rolled out OpenAI’s agentic coding tool Codex to all 30,000 of its engineers, months after CEO Jensen Huang told employees he wanted “every task that is possible to be automated with artificial intelligence to be automated.” The company-wide deployment, announced by OpenAI, is one of the largest enterprise rollouts of an AI coding assistant to date. OpenAI said it worked closely with Nvidia to deliver cloud-managed admin controls and US-only processing with fail-safes.The latest version of Codex runs on the GPT-5.3-codex model, which engineers inside Nvidia are already praising for its ability to handle complex, multi-step workflows without losing context mid-session.Dennis Hannusch, an engineer at Nvidia, said he started using the new model this week and called it “reaaally good.” “I keep expecting quality to drop deep into a session, but it doesn’t,” he wrote on X. Another Nvidia engineer, Benjamin Klieger, said he was particularly impressed with the tool’s context management and token efficiency—”probably the two most important advances for agents right now.”

Nvidia’s AI coding push started with a blunt message from the top

The Codex deployment traces back to a November 2025 all-hands meeting where Huang reacted sharply to reports that some managers were discouraging AI use internally. “Are you insane?” he told staff, urging them to lean into AI tools even when they fall short.Huang has repeatedly argued that AI automates tasks, not jobs. In his view, a software engineer’s purpose isn’t writing code—it’s solving problems. AI just gets them there faster. He’s pointed to radiology as proof: despite predictions that AI would gut the field, there are now more radiologists employed at higher salaries than before AI entered the picture.That philosophy now has infrastructure behind it. Nvidia set an engineering mandate last year to embed AI across every phase of its software development lifecycle. The company also uses Cursor, another AI coding platform, across its engineering teams.

CEO Jensen Huang says AI isn’t shrinking Nvidia’s workforce—it’s growing it

Despite the aggressive push toward automation, Nvidia continues to hire. Huang told employees the company added several thousand people in a recent quarter and is still roughly 10,000 short of where it needs to be. New offices are being set up across the US and Asia, including in Shanghai and Taipei.“I promise you, you will have work to do,” he told staff.



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