Huawei's Million-Dollar 'Genius' Quits, Citing Loneliness and Guilt Over Unshipped Research

The Eighth Year

When it comes to Huawei's "Genius Youth Program," I believe everyone has heard of it and knows something about it.

But what you might not know is that this year is already the eighth year of Huawei's "Genius Youth Program."

Huawei's "Genius Youth Program" officially launched in 2019, positioned as a global top talent recruitment project.

From the initial internal document personally signed by Ren Zhengfei, proposing to recruit 20-30 genius youths with a million-yuan annual salary, to now attracting thousands of top young talents globally to submit their resumes each year, this program has become a phenomenon-level topic in China's tech circle.

And its slogan is even more explosive:

Dragging the world forward!

The program is characterized by strict selection, highly competitive compensation, and the assignment of major technical challenges and resources. It aims to attract and inspire young talents with outstanding innovative potential in fields such as mathematics, computer science, physics, materials, chips, intelligent manufacturing, and chemistry. Selected individuals will directly engage in cutting-edge technical research.

This is not only Huawei's long-term strategic investment in core R&D capabilities but also a significant marker of Huawei leading technological breakthroughs and strengthening its talent brand.

Representatives of past outstanding Huawei genius youths include Bilibili top tech vlogger Zhihuijun; Dr. Zhong Zhao, who led a team to apply AutoML technology to tens of millions of Huawei phones, achieving the first large-scale commercialization of AutoML in the industry; and Dr. Zuo Pengfei, who initiated and led the MemArts project, saving the company hundreds of millions in storage service construction costs for a single scenario.

Another Huawei Genius Youth Resigns

Recently, another Huawei genius youth officially announced his resignation: Dr. Ning Boyu.

From June 26, 2023, to August 5, 2026, after working at Huawei for a full 1137 days, this top-tier academic star, who earned a million-yuan annual salary at 26 and was seen by countless people as a life winner, officially announced his farewell to this top tech company on his social media platform.

What made people even more curious was his next move after leaving:

He didn't jump to another major company for a higher offer, nor did he plunge into the entrepreneurial wave like his predecessor Zhihuijun. Instead, he first returned to his hometown in Hunan to visit his elders and helped relatives sell corn for a while, then announced he had received a "Marie Curie Fellowship" postdoctoral scholarship and would soon go to the KTH Royal Institute of Technology in Sweden for postdoctoral research.

I specifically watched Ning Boyu's interview responding to the resignation news. Between the lines, one could see that this expert has his own insights and reflections on life and growth.

In public narratives, the term "genius youth" is often bound to halos and high salaries.

But in his resignation statement, Ning Boyu mentioned two words: loneliness and internal friction.

He mentioned that his work at Huawei involved forward-looking research for the next few years, which was highly independent. This nature of work dictates that it lacks the clear milestones, immediate feedback, and close team collaboration found in delivery-type projects.

While colleagues around him were busy with product launches and customer acceptance, he was walking alone on a long path of exploration with unknown results. Over time, a sense of monotony grew, a sense of achievement diminished, and an indescribable sense of professional loneliness enveloped him.

Ning Boyu admitted that compared to doing research in a company, he enjoyed the state of discussing problems with academia more, which made him start thinking about whether he should return to academia.

And heavier than loneliness was the psychological burden brought by the genius label. The million-yuan annual salary made him feel he had reached the peak, but it also kept him in a constant state of value anxiety.

He confessed that if his technical research couldn't quickly lead to commercial returns, he would feel he was letting the company down. This sense of guilt didn't stem from a lack of ability, but from the inherent mismatch between the rhythm of personal research and the cycle of corporate commercial returns.

This is actually a common dilemma faced by many top technical talents in corporate research institutes. Companies need technology that can be transformed into competitiveness, while frontier exploration inherently allows for failure and tolerates long timelines.

When personal academic pursuits and organizational business goals cannot perfectly mesh, no salary, however high, can fill the inner void of value.

Ning Boyu's candor tears apart the illusion that a high salary equals happiness, and also lets us see the most real mental internal friction behind the glamour of top experts.

Latest Genius Youth Program Challenge Topics

Currently, Huawei's recruitment website has published its latest "Genius Youth Program" challenge topics.

Specifically, it includes the following 5 areas of topics. You can also see which field you are more interested in, so you can target your resume submission later.

1. Basic Research and Innovation

• AI large model training & inference technology research and performance optimization
• AI for kernel/heterogeneous converged OS research
• General-purpose computing cluster architecture design and optimization
• Next-generation trusted execution environment
• Multimodal understanding and generation large models
• Compression methods for AI large models

1. Intelligent Terminals

• Seamless indoor/outdoor high-precision positioning technology
• Mechanism research and solution study on interface bubbles and peeling failure in foldable screen modules
• On-device large model security
• Building high-order memory capabilities for large models
• Co-evolution of large and small models
• Multimedia algorithm research based on computer vision, multimodal understanding, and generation

1. Intelligent Connectivity and Computing

• On-device intelligent algorithm research for large models
• Key technologies for extreme memory & performance optimization in distributed training of large models for ultra-long sequences
• Research on new data management and efficient processing technologies for AI scenarios
• Network optimization for AI intelligent computing distributed inference systems
• AI Agent multimodal intelligent communication

1. Cloud Computing

• AI system training and inference acceleration technology research
• Large model network architecture and AI system technology research
• Key technology research on intelligent software engineering
• Research on intelligent optimization of cloud databases
• Security protection architecture design and technology research for full cloud scenarios
• High-precision 3D modeling technology research for large scenes

1. Intelligent Vehicles

• End-to-end intelligent driving model research
• Intelligent driving large model research
• AI end-to-end vehicle control technology research
• Research on emergence of planning and control capabilities empowered by large models
• End-to-end autonomous driving large model simulation testing and verification research
• Research on automated annotation and data mining for autonomous driving

1. Digital Energy

• High-safety, long-life batteries
• Research on kiloampere-level high-current power supply technology for xPU supercomputing chips
• High-performance, high-reliability IGBT/SiC power module architecture and packaging technology
• Digital AI modeling for lithium batteries, applied to the full battery lifecycle
• Advanced thermal technology for cooling high-heat-flux chips

Unlike other ordinary recruitment processes, the selection criteria for the "Genius Youth Program" are extremely strict.

Candidates typically need to go through about seven rounds of processes, including various screenings, technical interviews, expert interviews, and president interviews. The assessment covers not only professional ability but also comprehensive qualities such as innovative thinking, stress resistance, and value alignment.

Moreover, according to conventional thinking, we know that for job applications and recruitment, school and academic qualifications are a crucial threshold and stepping stone.

But for Huawei's "Genius Youth Program," school and academic qualifications are not hard requirements, because the program's recruitment details explicitly state:

No restrictions on school, no restrictions on major, no restrictions on academic degree.

As long as you have solid skills and real ability, you can self-recommend by sending an email with your resume to apply.

Ren Zhengfei has repeatedly emphasized within the company the need to "select talent不拘一格 (without sticking to one pattern)." So, this is also a real case where, if your ability is strong enough to the extreme, academic qualifications can almost be completely ignored.

In addition to this top-tier Huawei "Genius Youth Program" recruitment, just recently, Huawei specifically launched a separate "Top AI Talent Recruitment Special Program" targeting the field of artificial intelligence.

Everyone knows the AI track is exploding right now, and major companies are frantically competing for AI talent. Huawei is no exception.

This program is similar to campus recruitment, mainly targeting graduating undergraduates, master's, and doctoral students.

This is also the first time Huawei has specifically opened a talent recruitment program for the AI field, showing the importance they place on this area.

Final Words

Oh right, at the end of the article, I almost forgot an important question, which is how exactly to apply to join the Huawei Genius Youth Program?

The method is very, very simple, just send an email directly → [email protected]

Then follow three steps:

Resume Screening → Interview Communication → Hiring Decision

How about that, isn't it quite simple?

So guys, this is as far as I can help you.

Note: This article has been included in the GitHub open-source repository "Road to Programming" https://github.com/rd2coding/Road2Coding, which contains self-study roadmaps + knowledge point overviews for 6 major programming directions (positions) that I have organized, interview points, my resume, several hardcore pdf notes, as well as programmer life and reflections. Welcome to star.