Baidu CFO: how the company attracts young engineers with AI

Baidu CFO: How the company attracts young engineers using AI

Baidu's Chief Financial Officer Henry He appeared on the Bloomberg Odd Lots podcast to discuss how one of China's largest technology players is restructuring its own organization with the help of AI — and why young engineers increasingly choose Baidu despite fierce competition for talent.

Full Stack as Competitive Advantage

In the Chinese technology landscape, Baidu occupies a unique position: the company controls the entire AI stack independently. Own Kunlun processors, the large language model Ernie Bot, cloud infrastructure with services for corporate clients — and on top of everything, the commercial robotaxi direction Apollo Go, already operating in several Chinese cities without driver involvement. According to the CFO, this vertical integration is what makes Baidu an atypical employer.

Most companies specialize in one level of the stack: some make chips, others train models, still others build applied products. Baidu does all of this in parallel — and offers engineers the opportunity to work at the intersection of all these domains within a single organization. For an ambitious graduate of a technical university, such an environment is a rarity.

Here, you can go from silicon optimization to launching a real user-facing product without changing employers. This shapes a unique engineer profile — broad, yet with real hands-on experience at every level of abstraction.

AI as a Talent Management Tool

Henry He particularly emphasized: Baidu applies its own AI products not only for clients, but also within the company. HR processes are no exception. Ernie and related tools are turning from commercial products into a live internal laboratory: what the company offers corporate clients first goes through testing on its own tasks. In the context of hiring, this is expressed in automating initial resume screening, AI analysis of 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 and allow them to focus on people development and corporate culture. Among the directions that He mentioned:

• Automated initial resume screening using LLMs
• AI analysis of workload and dynamics in teams
• Personalized career paths for engineers of different specializations
• Accelerating onboarding of new employees through AI assistants

War for Engineers in Chinese AI

Competition for AI specialists in China has reached a peak. ByteDance, Alibaba, Huawei, Tencent and dozens of startups from Beijing, Shanghai and Shenzhen are competing for a relatively narrow pool of graduates from the country's leading technical universities. Against this backdrop, Baidu finds itself in an atypical position for itself: just a few years ago, the company was perceived as a player losing ground in search under pressure first from WeChat, then from TikTok.

Today, Baidu is actively repositioning itself as an "AI-first company" — and this transformation is addressed not only to investors and clients, but also to potential employees. Henry He noted a shift in the motivation of young professionals: graduates of top technical programs today choose an employer not only based on compensation size. The depth of engineering challenges, the opportunity to work with real cutting-edge systems, and the scale of impact of one's own code — these factors are becoming increasingly significant.

What This Means

Baidu is consistently turning technological scale into a staffing competitive advantage. A complete AI stack — from its own chips to commercial autonomous vehicles — creates an environment where a young engineer works simultaneously on multiple technology fronts. In the context of the global race for AI talent, this becomes a strong argument for hiring — especially for those who want not just to write code, but to participate in the creation of the technological infrastructure of the next decade.