Google Expands AI Use in Software Engineer Interviews

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Google is expanding the use of artificial intelligence in its software-engineering hiring process. Candidates for certain engineering roles can now use Google’s Gemini AI assistant during a new “code comprehension” interview round. Instead of only solving an algorithm from scratch, applicants are given existing code and asked to read it, find bugs, explain design decisions, and improve it with AI support.

The interview will assess “AI fluency,” including how well candidates write prompts, verify AI-generated output, and debug mistakes made by the model. Google says the aim is to make interviews reflect how its engineering teams already use AI in daily work.

The change began as a pilot in May 2026 for junior and mid-level roles on selected US teams, including Google Cloud and Platforms and Devices. Internal documents suggest the format has since expanded more widely, although Google says it remains a pilot.

AI is also being tested on the interviewer’s side. Google is exploring Gemini-based transcription and note-taking for some Google Meet interviews, as well as tools to help interviewers draft role-specific feedback. Employees have reportedly been instructed not to build their own independent AI tools for hiring.

Google is not alone in making this shift. Meta has also introduced an AI-enabled coding interview, though its version reportedly allows candidates to choose from several AI models, while Google’s pilot uses Gemini.

For future software engineers, the message is clear: strong coding skills still matter, but so does the ability to use AI responsibly—checking its output, identifying errors, and explaining technical decisions clearly.