Jensen Huang on Learning, Flat Organizations and Leading Nvidia

Joel Hellermark asks Jensen Huang how he stays technically current while running Nvidia. Huang credits knowledgeable colleagues willing to teach him and says he deliberately tries to be a good student.

Nvidia works across areas from autonomous driving to climate and digital biology, Huang says. Leaders in technology businesses need to understand the foundations well enough to distinguish a fundamental shift from a side turn.

He points to relationships among generative adversarial models, variational autoencoders and diffusion models as an example of how insight in one area can inform another. Technical intuition matters when a solution takes years to build on a rapidly changing foundation.

Asked about management practices, Huang says he starts from first principles: the organization’s purpose, inputs and outputs, and the conditions of its industry. Nvidia’s stated mission, he says, is to solve computing problems that are barely possible with conventional approaches.

Huang wants a company large enough to do its work well but as small as practical, attracting people who want difficult problems. To empower them and move information quickly, he favors a flatter structure over command-and-control hierarchy.

He says he has many senior direct reports and does not hold regular one-on-one career coaching with them. His rationale is that these experienced leaders know their fields; he communicates strategic direction to groups and refines it through feedback.

Huang argues that shared information and a flat structure make the company more agile. He says Nvidia is organized to work as one rather than through separate business divisions, with its structure shaped around accelerated computing.

Hellermark asks how Huang’s leadership has evolved. Huang says he can be direct when he disagrees, and spends time explaining the reasoning behind decisions so that colleagues learn how he weighs alternatives.

Meetings are not restricted to people of a particular rank, Huang says: recent graduates and specialists from different teams can participate. Both speakers value having the person closest to the problem or most expert in the room.

Rather than conventional status reports, Huang invites employees to send a “top five things” email about what they observed, did or learned. He says he reads roughly a hundred on a typical morning; the items need not all be formal work updates.

He says the flow is from employees toward leadership, not a central list that might bias what people report. Sampling these messages helps him see whether what people actually do matches the strategy the company says it has.

Huang says Nvidia plans continuously rather than relying on periodic one-year or five-year plans. The point, in his account, is to adapt as conditions change while keeping the organization aligned on what it is doing.

When Hellermark asks how to trust a contrarian intuition, Huang says to reason from explicit assumptions. He offers his vision of future data centers as factories that process data to produce intelligence as an example of extrapolating from a technical premise.

Conviction must be accompanied by a willingness to change one’s mind, Huang says. He describes openly acknowledging mistakes and repeatedly adapting plans, rather than defending an incorrect long-term commitment.

Hellermark asks how leaders enable people to do their life’s work. Huang says the leader’s mission is to create the conditions for others to do so, starting with choosing consequential problems rather than assigning commodity work.

Huang says his company does not center conversations on market share; in his framing, competing over an interchangeable product means talented people are repeating work already done. This is his stated management philosophy and does not establish that Nvidia faces no market competition.

He says walking away from commoditized businesses reinforces the message that employees should work on new problems. Choosing the right work and leaving the wrong work are, for him, both parts of creating the right environment.

Huang closes by stressing access to information and low hierarchy. Transparency across teams and the ability of even a new graduate to contribute in a meeting, he argues, help make empowerment real.