"Arunagiri's goal was to move to the US in late 2023, begin a master's program in product management at Carnegie Mellon University, and land a Big Tech internship for the summer of 2024. He hoped this would be a stepping stone toward landing an AI-related role, ideally at Nvidia, his 'dream company' because of its central role in the AI technologies he'd long wanted to work on."
"For one, the US tech hiring landscape was already creating headaches for job seekers. Openings had plummeted from highs reached a year earlier, and industry layoffs were increasing competition for available roles. Additionally, Arunagiri had grown accustomed to the job market in India, where he earned a bachelor's degree and an MBA from top institutions that he said relied on structured campus placement programs to funnel many students directly into jobs."
"'You're completely on your own,' said the 30-year-old, who now lives in San Jose. Arunagiri is among the many job seekers who have struggled to navigate a US hiring landscape that's become more challenging in recent years. Amid economic uncertainty, the early effects of generative AI adoption, and a broader push to streamline operations, US businesses are now hiring at one of the slowest rates since 2013."
Sylendran Arunagiri planned to move from India to the US in late 2023 to begin a master's in product management at Carnegie Mellon University and to secure a Big Tech internship for summer 2024. He aimed for an AI-related role, ideally at Nvidia, because of the company's central role in AI technologies. The US tech hiring landscape had softened, with openings plummeting and layoffs increasing competition. Arunagiri had relied on India's structured campus placement systems and found US recruiting more network-driven. He was rejected for an internship, reflected on errors, and created a plan to improve his chances amid a slower hiring environment.
Read at Business Insider
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