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Notes on the Industry Job Search

The author shares personal reflections and lessons learned from conducting an industry job search, covering strategies for applications, interviews, and decision-making processes based on their own experiences.

Background

Alisa Wuffles is a Chinese-born software engineer now at Anthropic (maker of the Claude AI assistant). This post shares her honest reflections on the grueling process of landing a software engineering job at a top US tech company. Key context: - "Industry job search" refers to the competitive, multi-round hiring pipeline at big US tech firms (Google, Meta, Amazon, etc.), involving algorithmic coding interviews, system design, and behavioral screenings. - International students on F-1 visas have a limited window (OPT) after graduation to find work, and employers must sponsor H-1B visas — many companies reject candidates who need sponsorship outright. - Common pain points include grinding LeetCode (a coding problem platform), navigating automated application systems, and coping with frequent rejection. - The post stands out because it comes from someone already inside a top AI company, offering genuine reflection rather than typical "how I got 10 offers" success content.

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