Baidu CFO: How the Company Uses AI to Attract Young Engineers

Baidu CFO Henry He appeared on the Bloomberg Odd Lots podcast to explain how one of China's largest technology players is reorganizing itself with AI, and why young engineers increasingly choose Baidu amid fierce competition for talent.

A full stack as a competitive advantage

In China's tech landscape, Baidu holds a unique position: it controls the entire AI stack on its own. It has its own Kunlun processors, the Ernie Bot large language model, and cloud infrastructure with services for enterprise customers. On top of all that sits the commercial robotaxi business Apollo Go, which already operates in several Chinese cities without a driver.

According to the CFO, this vertical integration makes Baidu an atypical employer. Most companies specialize in one layer of the stack: some make chips, others train models, others build applied products. Baidu does all of this in parallel, and lets engineers work at the intersection of all these domains within a single organization.

For an ambitious graduate of a technical university, such an environment is rare. Here you can go from optimizing silicon to launching a real consumer product without changing employers. This shapes a distinctive engineer profile: broad, but with real hands-on experience at every level of abstraction.

AI as a talent management tool

Henry He stressed that Baidu uses its own AI products not only for customers but also inside the company. HR processes are no exception. Ernie and related tools are turning from commercial products into a living internal lab: what the company offers to enterprise clients is first tested on its own tasks.

In hiring, this means automating initial screening, using AI to analyze team dynamics, and building career tracks for engineers. According to the CFO, the goal is not to replace HR managers but to free them from routine analytics so they can focus on developing people and corporate culture.

Among the areas He mentioned:

• Automated initial résumé screening with LLMs
• AI analysis of workload and team dynamics
• Personalized career paths for engineers across different specializations
• Faster onboarding of new employees through AI assistants

The war for engineers in Chinese AI

Competition for AI specialists in China has peaked. ByteDance, Alibaba, Huawei, Tencent and dozens of startups in Beijing, Shanghai and Shenzhen are fighting over a relatively narrow pool of graduates from the country's top technical universities.

Against this backdrop, Baidu is in an unusual position for itself. Just a few years ago, the company was seen as a player losing ground in search, first to WeChat and then to TikTok. Today Baidu is actively repositioning itself as an "AI-first company," and this transformation is aimed not only at investors and customers but also at prospective employees.

Henry He noted a shift in what motivates young specialists: graduates of top technical programs no longer choose an employer based on compensation alone. The depth of the engineering problems, the chance to work with real cutting-edge systems and the scale of impact of their own code are carrying more and more weight.

What this means

Baidu is consistently turning technological scale into a hiring advantage. A full AI stack, from in-house chips to commercial driverless vehicles, creates an environment where a young engineer works on several technology fronts at once. In a global race for AI talent, this becomes a strong argument for recruiting, especially for those who want not just to write code but to help build the technological infrastructure of the next decade.