

We are hiring exceptional PhD students and graduates to join our Global Frontier Tech Recruitment Program. Work on some of our most ambitious and high-impact initiatives, and collaborate with leading experts to solve complex problems. Turn your ideas into technologies used on a global scale and shape the future of technology.
Gain access to high-impact research, industry-scale resources, and a collaborative environment designed to help you push the boundaries of your field.

Exclusive access to top-tier research

Pursue academic research & real-world applications

Leverage industry-leading infrastructure

Thrive in a culture built for research

Grow with competitive rewards and development
Explore a curated set of advanced research initiatives aligned with the company's most important technical challenges and long-term innovation goals.
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What makes the Global Frontier Tech Recruitment Program different from other research roles in the company?
What is the application period for the Global Frontier Tech Recruitment Program?
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Who is the program designed for?
Choose a track that aligns with your experience as a PhD researcher, with opportunities to contribute to high-impact work from day one.
“I focus on ensuring the stability of massive-scale data center clusters. The complexity of the production environment makes the work especially exciting, and designing comprehensive strategies for these systems is like solving a high-stakes puzzle every day. What stands out about this program is the access to large-scale infrastructure and the autonomy to tackle foundational challenges from day one, where optimizing these systems directly supports innovation and enables the delivery of smarter, more reliable experiences to users globally.”

Shengtong
Intelligent Computing Architecture and Operating System Researcher
"The work here is much closer to real-world use compared to academia. Instead of focusing only on ideas and papers, I think about how to make systems actually work in practice. It’s also changed how I approach research, from focusing on individual models to understanding how different parts of a system come together to build something useful and reliable."

Huawei
Research Intern, AI Infrastructure
