Real, anonymous reports from people who interviewed for Software Engineer at Facebook, newest first and distilled into what to expect across the loop.
After a recruiter call, the whole loop moved pretty quickly and felt structured. I then had a technical screen where I worked through two coding questions. A week later, I went into the onsite portion that mixed different evaluation styles: there was a behavioral conversation, two more coding rounds with two problems, and then a system design interview.
My recruiter touchpoint came first, and then I moved straight into a coding-focused screen. I was given two LeetCode-style problems to solve, and the vibe was very much about showing clear thought and producing code you can explain—not just finding an answer.
The interview process typically begins with a recruiter call to discuss the candidate's background and align on expectations. This is followed by a technical screen that often includes two coding questions, usually LeetCode-style, which sets the tone for the technical rigor expected throughout the process.
Candidates can expect multiple coding rounds during the onsite or loop phase, focusing on medium to hard LeetCode-style problems. Emphasis is placed on clear communication, reasoning, and the ability to iterate on solutions under time constraints, with a consistent expectation for clean execution.
The interview process includes a system design or product architecture round, where candidates are expected to discuss trade-offs and practical implementations. This round often tests the ability to think through designs under time pressure and communicate ideas clearly.
Behavioral interviews are a significant component of the process, often using the STAR method to assess past experiences and how candidates handle various situations. The volume of behavioral questions can be higher than expected, focusing on communication and alignment with company values.
Some candidates may encounter an AI-enabled coding round where they work with an AI assistant to solve problems in a real codebase. This round tests collaboration with AI tools and the ability to evaluate outputs critically, differing from traditional coding assessments.
Candidates report a structured and professional interview experience, though the pace can be intense and the expectations high. Many reflect on the importance of time management and the need for thoroughness across all rounds, as small mistakes can significantly impact outcomes.