Chinese brain-computer interface job listings reach RMB 1.5 million a year

By Inside BCI · October 14, 2026

A Chinese company building implanted brain-computer interfaces is advertising pay of up to RMB 1.5 million a year, about US$223,000, for experts in FPGAs, the reprogrammable chips used for fast signal processing, and for PhDs in automatic control. The same listings offer up to RMB 1 million for neural signal decoding experts and neuroscience PhDs. The listings were cited by VCBeat, a Chinese healthcare trade outlet, on 12 October.

Beijing’s official benchmark is far lower. The city’s official 2026 talent catalogue puts the reference pay range for brain-computer interface roles at RMB 180,000 to 470,000 a year, so the top listing is more than three times the upper end. Chinese brain-computer interface companies raised several billion yuan across dozens of rounds in the first half of 2026, and they are competing for a small pool of people who combine neuroscience, engineering and clinical skills.

What companies are paying

Bailie Talent, a Chinese headhunting firm, puts the median company offer for neural signal algorithm engineers at RMB 820,000 a year, based on its search data for the first half of 2026. It says leading companies’ offers to core candidates with three or more papers at the NeurIPS AI conference or in the Journal of Neural Engineering can exceed RMB 1.2 million. Listings on the recruitment platform BOSS Zhipin show pay above RMB 1 million for roles including head of chip development and head of multimodal algorithms, and some companies in the Guangdong, Hong Kong and Macao Greater Bay Area recruited globally at that level during the spring hiring season.

The figures come from different samples and methods and do not represent an industry average. The Beijing range is the lower to upper quartile of pay for representative roles in the city, based on employers’ advertised monthly pay at the end of June 2026 multiplied by 12, and excludes equity incentives and dividends. Its upper end, RMB 470,000, is the lowest among the seven fields given five stars in the catalogue’s future-industries section, a group that also includes general artificial intelligence, quantum technology and humanoid robots.

Gestala’s founder and chief executive, Peng Lei (Phoenix Peng), says companies usually pay most to people who link several disciplines and take responsibility for the final result, and he expects competition for lead scientists, system architects and heads of clinical translation to keep intensifying.

Who is hardest to hire

As companies move from proving that a technology works to clinical trials, registration and production, their hiring has widened. Gestala, the Chengdu ultrasound developer that opened its global headquarters and the first phase of its factory in June, is one example. Its early team leaned toward neuroscience, ultrasound, algorithms and prototypes, and its hiring has since begun to extend into systems engineering, reliability testing, product development, quality systems, regulatory registration, clinical trials, manufacturing and supply chain.

StairMed, whose wireless implanted system entered the regulator’s fast-track review for innovative medical devices in November 2025, is running a hiring round across algorithms, hardware, device fabrication, electronics and clinical engineering.

Peng says standard roles are manageable to fill. The hardest are leaders who combine two or three capabilities, such as someone who understands neuroscience and can turn brain data from several kinds of recording into algorithms and products, and he says such people are few worldwide and take longer to identify and vet. In June, Gu Bin, head of the industry department at the Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration in Tianjin, said his team finds hiring very difficult and prefers younger recruits, because people trained in traditional disciplines have knowledge that does not match brain-computer interface product development well. Yang Zhiwen, founding partner of Nuoyu Capital, says poaching between companies is common, and that companies holding core electrode and neurostimulation technology have become an important source of staff for newer startup teams.

Recruiting abroad

Gestala has hired senior staff from outside China. In April it hired Bashar Badran, whom it describes as Neuralink’s former clinical partnerships lead, as vice president and head of clinical and science. In May it hired two former executives of Nano Retina, an Israeli retinal implant developer listed by Startup Nation Central as having ceased operations in 2023: Ra’anan Gefen as vice president of implantable technology and David Rigler as vice president of regulation and quality.

Gestala has also named three scientists to its external scientific advisory board: Trevor Robbins of the University of Cambridge in April, Feng Jianfeng, dean of Fudan University’s Institute of Science and Technology for Brain-Inspired Intelligence, in May, and the US neurologist Helen Mayberg, announced on 30 September. The company has set up an open research platform, NeoLAB, and plans a global scholars programme funding young researchers in ultrasound neuromodulation, functional ultrasound imaging, neural decoding, NeuroAI and sonogenetics.

For Western neurotechnology companies, Gestala’s hires show one well-funded Chinese developer recruiting senior clinical, implant engineering and regulatory staff from abroad.

The state is building supply

On 28 April, China’s Ministry of Education added brain-computer science and technology to its undergraduate catalogue as a new major and approved universities including Tianjin University and Harbin Institute of Technology to offer it from the 2026 intake. Tianjin University says its major is the first in China dedicated to the field and open to direct enrolment. It builds on an undergraduate concentration the university launched in 2024, which offered 20 places in its first year and had 41 students across two intakes by April, and on a doctoral programme the university set up in 2025, whose formal national approval as the first in China was announced in September. On 29 May, 14 universities, including Zhejiang University and Hong Kong Polytechnic University, signed the founding agreement of a national alliance for brain-computer interface education initiated by Tianjin University.

Yang says engineers can be developed on company projects, but neuroscience and clinical talent cannot be produced quickly that way, because doctors must complete undergraduate, master’s, doctoral and residency training and years of clinical practice, and neurosurgeons take especially long.

Not disclosed

The company behind the RMB 1.5 million listing is not named, and whether any offer at that level has been accepted is not known. Bailie Talent’s sample size and method are not given. Neither Tianjin University nor Harbin Institute of Technology has announced intake figures for the new major. Gestala has not disclosed what it pays its senior hires.

What to watch

Whether more Chinese universities add the brain-computer science and technology major, and how many places they offer.

Whether other Chinese developers recruit senior clinical and regulatory staff from US, European and Israeli neurotechnology companies.

Whether pay at this level holds if funding for Chinese brain-computer interface companies slows.

Whether StairMed, Gestala and their peers meet their clinical and registration timelines with the teams they are building.

Sources

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Coverage:

Cross-reference to prior InsideBCI coverage:

market China talent salaries recruitment Gestala Peng-Lei Phoenix-Peng Bashar-Badran Nano-Retina Helen-Mayberg Trevor-Robbins Feng-Jianfeng StairMed Tianjin-University Ministry-of-Education Beijing VCBeat Neuralink workforce