Real, anonymous reports from people who interviewed for Software Engineer at OpenAI, newest first and distilled into what to expect across the loop.
I started with a phone screen where I talked through my background and then worked on a basic data structures problem. From there the interviews ramped up quickly—everything felt intense and focused on whether I could handle real engineering problem solving under pressure.
My process felt pretty straightforward and fast-paced. I had two days of back-to-back interviews, mostly centered on coding problems, plus a hiring manager interview. The whole thing had a practical feel—less about getting lost in theory and more about showing I could solve.
The interview process typically begins with a recruiter screen, followed by a series of technical interviews that include coding challenges and system design discussions. The overall flow is organized and can span several days, often with back-to-back sessions, making it feel fast-paced and intensive.
Candidates should expect a mix of coding problems that often align with LeetCode-style questions, focusing on practical application rather than purely theoretical concepts. The coding rounds may include both algorithmic challenges and real-world scenarios, emphasizing problem-solving under pressure.
System design rounds are a significant part of the interview process, where candidates are evaluated on their ability to design scalable systems and discuss engineering principles. Candidates should prepare to defend their design choices and address real-world constraints during these discussions.
Behavioral interviews focus on candidates' past experiences, teamwork, and alignment with company values. Candidates should be ready to discuss their motivations for applying and how they fit within the company's culture, as this is a critical aspect of the evaluation process.
The candidate experience can vary significantly, with some reporting disorganized communication and unclear expectations, especially regarding interview logistics and feedback. Candidates should be prepared for potential delays and unclear instructions during the process.
Candidates often report that even strong performance in coding rounds does not guarantee an offer, highlighting a disconnect between passing technical evaluations and final decisions. Feedback can be sparse, leaving some candidates with a sense of uncertainty about their performance.