How Hamza Mostafa Landed His OpenAI Internship

Hamza Mostafa, a 21‑year‑old software engineering student, had already stacked up several co‑op placements when friends in San Francisco tipped him off about a new internship programme at OpenAI. He applied early – a move he credits, along with cold‑emailing recruiters, for getting noticed – and found himself facing two of the toughest technical interviews of his life.

During a 45‑minute live coding block he had to solve a programming challenge while explaining his design process aloud. OpenAI, he says, placed a heavy premium on speed. When the offer for a three‑month stint from May to August 2025 arrived, he was euphoric. The experience, he says, transformed how he works with AI agents, accelerating his own coding by a significant margin.

Now living in San Francisco full time, Mostafa has already accepted a return offer for autumn 2026. Visa complications put that on hold, so he is currently focusing on his own agentic‑AI projects – something he feels the city’s dense talent pool makes uniquely possible. The high cost of living and fierce competition are, in his view, a worthwhile trade.

Inside OpenAI’s Internship: High Standards, Startup Culture

The AI Talent Magnet That Is San Francisco

Mostafa’s path underscores a powerful gravitational pull: despite abundant tech opportunities in Canada, he felt that staying there would limit his access to cutting‑edge AI research and the kind of hyper‑connected community that exists in San Francisco. His repeated trips to the city for events and networking – long before he had a job – were instrumental. Each contact, he says, led to the next role.

What OpenAI’s Internship Process Reveals About Its Culture

The intensity of the interview gauntlet – fast‑paced live coding with clear communication expectations – suggests a company that values not just technical skill but the ability to think and articulate under pressure. Once inside, the environment felt less like a large corporation and more like a startup: interns are expected to ship code on day one, and even new hires merge changes into the codebase immediately. At the same time, CEO Sam Altman made a point of asking interns whether they felt supported – a signal that retention and morale matter at the top.

The picture that emerges is one of a workplace that combines the velocity and ownership of a young venture with the high‑stakes scrutiny of an organisation at the centre of the AI boom. For early‑career engineers, that blend appears to be a powerful accelerant.

What Aspiring AI Engineers Can Learn from This Path

  • Cold‑emailing recruiters and attending San Francisco tech events can unlock opportunities at top labs, as Mostafa’s story shows – he leveraged both to stand out in a crowded applicant pool.
  • Multiple prior internships and some hands‑on machine learning experience gave him the credibility to survive OpenAI’s high‑speed technical interviews; candidates without that runway may need to build it elsewhere first.
  • The expectation of shipping code on day one means interns must arrive ready to contribute immediately, not just to learn – the startup‑like culture rewards initiative and a bias for action.