AI-Native Engineering Interviews at Cerebras

This post details the evolution of Cerebras's technical interview process to incorporate AI tools. It describes how interviews now resemble real engineering tasks where candidates are expected to use AI for implementation, debugging, and testing. The evaluation criteria have shifted to focus on AI collaboration skills, including problem framing, verification, judgment, communication, and ownership, rather than solely on the final code. The post highlights the importance of verification as a first-class skill in AI-assisted work and emphasizes that interview design matters more than the specific tool choice. It concludes that the human engineer remains accountable for the work, and the goal is to identify individuals who can leverage AI effectively and responsibly.