Chinese artificial-intelligence startups are posting job ads in Silicon Valley, hoping to tap engineers who helped build models at firms such as OpenAI and Anthropic. The move marks a shift from relying solely on domestically trained staff to competing for talent in the United States.
Chinese firms launch U.S. hiring drive
MiniMax, a Hong-Kong-listed AI venture, lists about 16 openings in San Francisco, including a research lead tasked with advancing its core model. The company also seeks specialists in finance, law, life sciences, cybersecurity, and a lead recruiter to draw talent from both the Bay Area and Seattle.
Moonshot AI, creator of the Kimi model, advertises “solutions architect” roles for U.S.-based engineers. Those hires would assist enterprise customers in integrating Moonshot’s models into existing workflows.
“Wanting to establish research teams in Silicon Valley makes perfect sense for Chinese AI companies seeking access to talent and the latest developments in the industry,” said Cheryl Wu, a Yale economics-of-AI researcher.
A September study by the Carnegie China research center found that more than half of the world’s top AI authors earned their undergraduate degrees in China, yet the United States still draws the most talent. In 2025 the U.S. added a net 2,145 researchers while China saw a net loss of 1,729.
Chinese firms are also courting Chinese scholars who now work abroad. Tencent recently hired former OpenAI researcher Yao Shunyu to head its AI research unit, a high-profile example of the “brain-gain” strategy.
A Bay-Area headhunter, speaking on condition of anonymity, said Chinese labs are hunting “little geniuses” who have experience at OpenAI or Anthropic. The recruiter noted that many such engineers are already on the radar of U.S. competitors.
Salary differentials remain a major obstacle. “It’s money. Chinese companies simply don’t have enough of it to offer competitive wages for talent,” Wu explained, noting that recent funding rounds have only begun to narrow the gap.
According to its 2025 financial filing, MiniMax spent $84.3 million on employee remuneration, roughly $203,000 per staff member based on a headcount of 415. Z.AI reported an annualized cost of $140,000 per employee for the first half of 2026, figures that include equity and all personnel categories.
By comparison, OpenAI lists base salaries of $250,000 to $445,000 for research engineers in San Francisco, before equity awards. Three Chinese researchers in the valley said peers often receive total packages exceeding $1 million.
When faced with offers from OpenAI or Anthropic, ByteDance’s frontier model division Seed sometimes counters with proposals 1.5 times higher, according to an insider. Wu Yonghui joined Seed as head of research in early 2025.
Despite higher pay, several Chinese engineers prefer American firms for a better work-life balance and the chance to work on truly frontier models. “I think most of the top Chinese talent would feel pretty comfortable in Silicon Valley; it’s the only other place where “996” isn’t really frowned upon,” said Damien Ma, director of Carnegie China, referring to the demanding work culture common in China’s tech industry, where employees work from 9 a.m. to 9 p.m., six days a week.
Seed now lists 71 open positions across San Jose, San Diego and Seattle, signaling an aggressive expansion of its U.S. footprint.
Revenue share and talent attraction challenges
As of September, China’s six leading AI firms generated about 10% of the AI-related revenue that OpenAI and Anthropic together earned, Wu’s research shows.
Wu said career prospects are another factor, noting senior Meta engineers might take lower-ranking roles at Anthropic because of its frontier AI work. He added this makes it harder to attract top talent to labs whose models are not at the cutting edge.
Geopolitical tensions shape hiring
Washington has limited Chinese firms’ access to cutting-edge Nvidia chips and scrutinizes their use of overseas cloud services. No explicit ban stops Chinese AI labs from opening U.S. offices or recruiting engineers, yet the regulatory climate grows more restrictive.
Chinese policymakers have floated export controls on advanced models trained with what they label “important data.” The proposal aims to keep the most capable systems within national borders.
U.S. officials allege that some Chinese labs employ unauthorized distillation methods to copy the performance of American models. On related fronts, the United States already requires licenses for American engineers joining Chinese semiconductor projects.
Ma warned that competition could soon trigger national-security arguments, making it harder for Chinese labs to operate in the United States. He noted that the talent pool in question represents only the top few percent of global AI experts.
Past restrictions provide a cautionary tale. In 2019, a major telecom company reduced its U.S. research workforce after being placed on a trade blacklist, illustrating how policy can abruptly curtail overseas activities.
Domestic focus versus overseas expansion
Not every Chinese AI startup pursues a U.S. hiring strategy. DeepSeek continues to post openings primarily for engineers based in China, announcing roughly 150 roles to expand its agentic and back-end infrastructure.
Yale researcher Wu remains skeptical that hiring drives alone will close the gap with U.S. labs. She argues that even with increased funding, Chinese startups may still struggle to attract the limited pool of top researchers.