Former Google Staffer Accused of Funneling Supercomputing Secrets to Beijing
DOJ Alleges Software Engineer Quietly Transferred Cutting-Edge AI and Chip Designs to PRC-Based Ventures, Exposing National Security Risks
SAN
FRANCISCO — In
a groundbreaking indictment unsealed Tuesday—spotlighting the high-stakes race
between China and the United States for dominance in artificial intelligence,
which experts warn carries critical military implications—federal prosecutors
charged Linwei “Leon” Ding, 38, with seven counts of economic espionage for
allegedly stealing Google’s proprietary supercomputing technology to benefit
Beijing.
Prosecutors
say Ding joined Google in 2019 as a software engineer with privileged access to
the company’s supercomputing data centers, AI frameworks, and hardware
configurations. Beginning in May 2022, he allegedly began secretly uploading
Google’s confidential data to his personal Google Cloud account, transferring
more than 1,000 files by May 2, 2023. Investigators claim he copied Google
source files to Apple Notes on his company-issued laptop, converted them to
PDFs, and funneled them into a personal account. Authorities characterize these
files as the crown jewels of Google’s AI ecosystem—critical orchestration
software capable of harnessing thousands of interconnected chips.
The
superseding indictment outlines that the stolen data contained proprietary
information about Google's software that allows these chips to communicate and
execute tasks, and Google's custom SmartNIC technology—an advanced network
interface card that enhances cloud networking and high-performance computing
capabilities. This infrastructure is the backbone of Google's AI model
training, allowing vast clusters of processors to operate as a single, powerful
supercomputer.
For the
uninitiated, this type of computing power enables software to process vast
amounts of data at speeds approaching real-time decision-making and
interaction, mimicking elements of human intelligence.
While Ding
was employed by Google, he secretly affiliated himself with two PRC-based
technology companies. Around June 2022, he was in discussions to become Chief
Technology Officer for an early-stage technology company in China called
Beijing Rongshu Lianzhi Technology Co., Ltd. According to prosecutors, Rongshu
was developing acceleration software for machine learning on GPU chips, as well
as federated learning AI platforms that allow models to be trained on
decentralized datasets. The company’s CEO offered Ding the CTO position, a
monthly salary of 100,000 RMB (approximately $14,800 in June 2022), an annual
bonus, and company stock.
Although
Ding never disclosed any PRC affiliations to Google, he allegedly leveraged the
confidential information he had been collecting to advance his career at
Rongshu. Federal agents assert this marked a key milestone in his alleged plan
to commercialize Google’s AI expertise on behalf of Chinese interests.
By May 2023,
Ding had founded his own AI and machine learning startup in the PRC—Shanghai
Zhisuan Technology Co. Ltd.—and was acting as its CEO. In November, he pitched
Zhisuan’s capabilities at a Beijing venture capital conference.
During these
trips, he allegedly secured meetings with potential investors, pitched his AI
firm’s ambitions, and refined a product roadmap that closely mirrored Google’s
high-performance computing blueprint. Investigators say they uncovered
communications linking Ding’s endeavor to a PRC “talent program,” which
incentivizes overseas experts to transfer cutting-edge technology back to
China, including knowledge with military or dual-use potential.
Newly
revealed documents indicate that Ding actively promoted China’s AI ambitions
within his startup. Prosecutors say he circulated a PowerPoint presentation to
employees citing PRC national policies encouraging the expansion of domestic AI
infrastructure. Another PowerPoint, submitted as part of an application to a
PRC talent program in Shanghai, explicitly stated that his company’s product
“will help China to have computing power infrastructure capabilities that are
on par with the international level.”
The
superseding indictment underscores how PRC-sponsored talent programs offer
lucrative salaries, research funding, and lab space in exchange for the
transmission of cutting-edge research and industrial secrets. Court filings
suggest that Ding’s alignment with these initiatives provides clear evidence
that he was not merely engaging in private entrepreneurship but was actively
working to strengthen China’s technological standing, potentially at the
expense of U.S. national security.
The Ding
indictment takes on added weight in light of the DeepSeek controversy, in which
U.S. officials have raised concerns about another Chinese AI firm’s alleged
misuse of American-made semiconductors in violation of export control
restrictions. DeepSeek’s rapid rise—punctuated by its AI assistant becoming the
top download on Apple’s App Store—shook U.S. tech markets and prompted
Microsoft, an investor in OpenAI, to accuse DeepSeek of misappropriating
proprietary technology.
These
parallel concerns underscore the urgency with which authorities are
scrutinizing China’s accelerating efforts to acquire advanced computing
capabilities. Experts warn that such technology transfers, whether through
insider threats or supply chain loopholes, could bolster the PRC’s commercial
competitiveness while enhancing its military and surveillance capabilities.
American
officials have repeatedly emphasized that economic espionage cases involving AI
and supercomputing extend beyond corporate theft and touch upon national
security interests. By allegedly siphoning off the intricate blueprints for
Google’s supercomputer-scale AI systems, Ding may have significantly widened
China’s pathway to developing or refining similar platforms.
If the Department of Justice succeeds in proving economic espionage—a charge that surpasses simple trade secret theft by encompassing actions intended to benefit a foreign government—Ding’s prosecution could set a crucial precedent for how the United States confronts clandestine efforts to extract Silicon Valley’s most valuable innovations.
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