Former Nvidia employees reveal why they walked away from millions to build AI startups
Artificial intelligence has become the biggest career catalyst of the past decade. And no company embodies that phenomenon better than Nvidia, which went from a graphics card maker for gamers to the undisputed protagonist of a technological revolution reshaping the world.
Working there became synonymous with stability, enviable salaries, and stock options that multiplied many people’s net worth practically overnight. Since ChatGPT launched in late 2022, the company’s stock has grown twelvefold, turning ordinary positions into genuine gold mines.
But here comes the question nobody expected to ask: why would anyone walk away from all of that?
That is exactly what a group of former Nvidia employees decided to answer in practice — not with words, but with their own choices. They gave up millions in pending compensation, ignored the so-called golden handcuffs of the vesting system, and went on to found their own AI startups at the exact moment the artificial intelligence boom was at its peak.
Sounds crazy? Maybe. But once you understand the reasoning behind each decision, it starts making all the sense in the world. 🚀
The conversation with Jensen Huang that changed everything for Antons Davis
After nearly nine years at Nvidia, Antons Davis hopped on a video call with CEO Jensen Huang to pitch his ideas. Davis, who led the design of several gaming products at the company, brought a proposal about how Nvidia could build an educational ecosystem. Huang’s response was direct and challenging: he asked Davis to go beyond theory and prove the concept in practice.
Davis remembers the phrase that stuck in his head: Huang said something along the lines of if you can show me, then we will talk about it. For Davis, that hit like a reality check. Instead of trying to convince the CEO with slides and presentations, he realized he needed to build something concrete.
And that is exactly what he did — just not inside Nvidia. In 2022, Davis resigned from what would become one of the most coveted jobs in the tech industry and embarked on a journey of self-discovery that included travel and retreats. During an ayahuasca ceremony, a message stuck with him. He remembers scribbling in a notebook: I am a curator.
That experience led him to found a life coaching practice called Touch of Humane and, later, a tech startup called Osmo, which develops software for professional coaches. The path was unconventional, but Davis knew he needed to build something that made sense to him, even if it meant leaving millions of dollars in stock compensation on the table.
What drives an Nvidia engineer to walk away from it all?
Anyone who works at a company like Nvidia knows the benefits package goes far beyond a monthly paycheck. The so-called stock options work like a silent contract between the company and the employee: you stay, you grow alongside the company, and after a few years the numbers in your bank account tell a very different story from most people’s. With Nvidia shares appreciating at historic rates in recent years — driven precisely by the explosion of artificial intelligence — that silent contract became even more tempting. A lot of people simply decided to wait, accumulate, and ride the wave.
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Nvidia’s stock-based payments vest over time, a tactic tech companies have used for years to retain their best talent. It is an efficient mechanism because it creates a constant feeling that the next batch of shares is right around the corner, always close enough to justify sticking around for one more quarter.
But a specific group of professionals saw the situation from a completely different angle. For these entrepreneurs, being at the center of the biggest technological revolution in history was not just a career privilege — it was a window of opportunity with an expiration date. They saw that the knowledge accumulated inside Nvidia, the connections, the deep understanding of how AI models work in practice, and the vision of what was still to come — all of it had immense value on the open market. And that value only existed in full while the moment was still fresh, while the AI startup ecosystem was still being built.
There is also a powerful psychological factor in this equation that many people overlook. When you are inside a large corporation, no matter how innovative it may be, there is a structure, a hierarchy, a rhythm that is not necessarily yours. For highly creative minds driven to build something of their own, that structure can start to feel heavy over time. The question stops being how much will you earn and becomes what will you build. 💡
The golden handcuffs that almost kept Adnan Boz locked in
The case of Adnan Boz perfectly illustrates how golden handcuffs work in practice. Boz left Nvidia in 2023 to found SoftwareAgent.AI, a startup developing autonomous programmers powered by artificial intelligence. But before making that decision, he postponed his departure twice, each time waiting for the next quarterly stock vest.
The problem is that this cycle becomes a moving target. There is always a next batch of shares about to be released, always one more financial reason to stay just a little longer. Boz realized that, at 54, his career timeline was finite. If he kept waiting for the perfect moment to leave, that moment would simply never come.
Davis faced this same dilemma. He described the decision to leave as especially difficult for someone with a survival mindset, having grown up in a small town in southern India. The choice meant giving up something tangible and secure for something uncertain and intangible. He sold enough Nvidia stock to create a financial cushion of three to five years while getting his coaching business off the ground. In total, Davis estimates he left millions in pending stock compensation behind.
As he put it: not everyone can unlock those golden handcuffs and take that leap.
Mo Nasir and the math that favors founders
Mo Nasir joined Nvidia straight out of college, working on control systems for autonomous vehicles. Still in his early twenties, he felt that entrepreneurial restlessness growing inside him. As AI models kept evolving, Nasir identified a clear opportunity to build software capable of automating work in regulated industries.
Getting accepted into the Y Combinator program, one of the most respected startup accelerators in the world, served as the permission he needed to turn his side project into a full-time commitment. The phrase he used to describe his motivation is pretty telling: if you want a real shot at making a billion dollars, it is virtually impossible to do that as an employee.
Nasir left Nvidia in 2024, after more than four years at the company, to launch Altrina, which builds AI agents for regulated industries. The company has already raised 1.8 million dollars in funding and has four employees.
Despite leaving a significant amount of Nvidia stock behind, Nasir said he underestimated the financial upside available to startup founders. According to him, if Altrina were sold at its pre-seed round valuation, he would have already recouped ten times what he left on the table by leaving Nvidia. And he added that the numbers are simply absurd. 🔥
Sam Karu and the window of opportunity at 30
For Sam Karu, the decision to leave Nvidia was not so much about a lack of personal fulfillment — it was about timing. He did not even have a concrete startup idea when he resigned in 2025, after more than three years at the company. But he had just turned 30, knew he wanted to start a family, and understood he needed to make the most of his most productive years while he still had the energy and availability to work intensely.
Karu openly acknowledged he was walking away from a job most people would dream of having. Even so, he founded Logical, a Y Combinator-backed startup developing an AI-powered work assistant.
His story shows that the decision to start a company does not always come from deep dissatisfaction or a brilliant idea that will not leave your head. Sometimes, it is simply a matter of recognizing that there is a limited window of time to take certain risks, and waiting too long could mean losing that window forever.
The Nvidia effect on a founder’s resume
After leaving, the founders reported that Nvidia’s reputation helped them establish immediate credibility with investors, clients, and other stakeholders in the startup ecosystem. Having a stint at the company that sits at the epicenter of the AI revolution on your resume works like a quality seal that opens doors that would be far harder to access otherwise.
The former employees also said that Nvidia’s culture directly influenced their journey as entrepreneurs. Adnan Boz, for example, described Jensen Huang as a school in himself. According to Boz, Huang taught his employees to get comfortable with failure and to see setbacks and mistakes as natural parts of building something new — a lesson that sits at the heart of entrepreneurship.
As Boz summed it up: you need to make mistakes to be able to refine your goals. That mindset, cultivated inside Nvidia, became a valuable tool for navigating the uncertainty that defines day-to-day life at any early-stage startup.
The startups emerging from this movement
The phenomenon of former employees from major tech companies creating their own ventures is nothing new. Silicon Valley’s history is full of stories like these, from the generation that left Fairchild Semiconductor to the ex-Googlers who founded dozens of relevant companies. But what is happening now with talent that came through Nvidia has a distinct characteristic: they leave with extremely specialized knowledge in artificial intelligence infrastructure, high-performance computing, and architectures that most engineers on the market simply do not have access to. That creates a massive competitive edge right from the starting line.
The startups emerging from this movement cover a pretty broad spectrum within the AI universe:
- SoftwareAgent.AI — autonomous programmers powered by artificial intelligence
- Osmo — software built for professional coaches
- Altrina — AI agents for regulated industries
- Logical — a smart work assistant backed by Y Combinator
There are also initiatives focused on hardware itself and new chip architectures — something very few people in the world have the expertise to execute — and former Nvidia engineers are on that very short list.
What stands out is that these companies are not starting small and timid. The entrepreneurs who left Nvidia hit the market with credentials that open doors immediately. Venture capital investors, sitting on billions in capital waiting for concrete opportunities in the AI sector, recognize the value of a founding team that literally helped build the infrastructure the entire artificial intelligence revolution is running on. The result: substantial funding rounds, elevated valuations from day one, and a growth speed that would be impossible for most early-stage startups.
Innovation that goes beyond Nvidia
There is an important point that needs to be made clearly: this movement does not represent a threat to Nvidia as a company. In fact, it is almost the opposite. When a company’s best talent leaves to create new businesses within the same technological ecosystem, they end up expanding the very market the company helped create. New AI startups need infrastructure to run their models, and a large portion of that infrastructure still runs, directly or indirectly, on Nvidia’s own products and platforms. It is a cycle that feeds itself in a pretty fascinating way.
The company’s relative valuation and the stability it offers in a sector recently marked by mass layoffs created powerful incentives for many people to stay. But paradoxically, that same valuation is what gave some employees the financial freedom they needed to take the risk of leaving. Selling shares accumulated over years of work created financial cushions that allowed these founders to dedicate years to developing their companies without the immediate pressure to generate revenue.
Beyond that, this phenomenon says a lot about the maturity of the artificial intelligence ecosystem worldwide. When the most qualified professionals in a field start leaving big corporations to start their own companies, it is a sign that the market is mature enough to absorb and fund those initiatives. It means real problems are being identified, capital is available to bet on solutions, and the technology has reached a level of development that allows specialized knowledge to be turned into a viable product within a reasonable timeframe. That is exactly the combination that makes great cycles of innovation happen.
What this signals for the future of artificial intelligence
For anyone following the tech sector closely, this movement of entrepreneurs leaving Nvidia is one of the most concrete signs that the artificial intelligence revolution is still far from reaching its peak. The knowledge being carried into the open market will generate products, services, and solutions we cannot even imagine yet.
Each of these founders carries not only top-tier technical skills but also the culture and mindset of a company sitting at the center of one of the greatest technological transformations in history. Jensen Huang’s lesson about embracing failure as part of the building process is now spreading across dozens of new companies, each tackling a different problem with the same intensity and boldness.
The most fascinating part is that all of this is happening right now, in real time, with people who decided that building something of their own was worth more than any compensation package, no matter how generous it might be. That, at the end of the day, is what real innovation looks like while it is still happening. ✨
