UBTECH Hunts Chief Scientist as Humanoid Sales Soar
By Chen Wei
Image / Photo by National Cancer Institute on Unsplash
UBTECH just offered a chief scientist up to RMB 124 million. That eye-popping figure isn’t a rumor; it’s a signal from a company doubling down on humanoid robotics while trying to convert science into scale.
UBTECH’s latest disclosures place the move in a broader revenue story. In 2025 the Shenzhen-based maker of humanoid and industrial robots pulled RMB 2.001 billion in revenue, up 53.3% year over year. Full-size humanoid robots contributed RMB 821 million, representing 41.1% of total revenue, with 1,079 units sold. The Walker S2 humanoid, now in mass production, is being deployed into manufacturing and logistics workflows—the kind of real-world use that justifies the company’s push on AI-enabled embodied intelligence. Gross margin expanded to 37.7%, but UBTECH still logged a net loss of RMB 790 million for the year, and the company finished 2025 with roughly RMB 4.888 billion in cash and cash equivalents.
The chief scientist role—focused on embodied intelligence, or “具身智能” in Mandarin, with a core emphasis on vision-language-action (VLA) systems—highlights a deliberate bet on foundational models that can steer robots through perception, language, and action in complex environments. UBTECH announced the recruitment on April 2, signaling that the company sees a near-term dividend from AI-first robotics, not merely hardware sales. In plain terms: if you want a humanoid that can understand a warehouse, talk with a supervisor, and then act without human consent every step of the way, you need a strong, house-built foundation of AI models.
Two threads stand out for observers watching China’s manufacturing ecosystem. First, the talent war in robotics and AI is moving from “great engineers” to “great visionaries.” The advertised salary band—RMB 15 million to RMB 124 million annually—signals not just a scramble for talent but a strategic bet on IP leadership. In a market where R&D cycles are long and the payoff hinges on scalable software layers atop hardware, the value of a chief scientist is measured by the ability to translate lab breakthroughs into deployed, repeatable systems.
Second, the revenue mix reveals a company transitioning from early-stage gadget prototypes to enterprise-grade automation. The humanoid segment now constitutes a meaningful chunk of UBTECH’s business, yet profitability remains uneven. The 37.7% gross margin is respectable for a robotics-software stack, but the net loss underscores the cost of heavy early-stage investment—the kind of burn that large R&D salaries are designed to finance. UBTECH’s liquidity—the nearly RMB 4.9 billion cash cushion at year-end—provides runway to pursue AI-driven improvements that could differentiate its walkers and welders from competitors, but it also places a premium on turning R&D into multiplied real-world deployments.
For practitioners watching the supply chain and sourcing implications, several takeaways emerge. One: talent is a cost of entry for AI-enabled robotics. If other OEMs or integrators time the market around these models, the winners will be the ones who translate AI into reliable, low-friction workflows in factories and warehouses. Two: the Walker S2’s mass production status hints at demand-tuning—if the platform can consistently handle repetitive logistics and assembly tasks, the next phase will hinge on scaling core components: actuators, sensors, and AI chips sourced from China and abroad. Three: UBTECH’s emphasis on foundational models foreshadows a broader industry move toward platform play—where a single, AI-driven humanoid can be adapted across multiple industries, increasing the lifetime value of a robot asset.
Looking ahead, watchers should monitor three indicators: whether the newly hired chief scientist accelerates a measurable uplift in deployment efficiency, the pace at which the Walker S2 and related humanoids convert into recurring revenue, and how UBTECH parries margin pressure while continuing to invest in AI foundations.
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