Join Us

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I am a tenured associate professor at the Department of Computer Science and Technology, Tsinghua University. My research and engineering work focuses on operating systems and pervasive computing. I am looking for students, interns, undergraduate students, master’s students, Ph.D. students, postdoctoral researchers, and engineers to join the group.

AI4OS and OS4AI
- Cross-layer co-design across operating systems, models, compilers, and hardware, including Rust, one-way component dependencies, user-level hardware interrupts, unified shared memory, and heterogeneous AI hardware accelerators.
- Generative, verifiable, explainable, and rollback-capable operating system abstractions for AI agents, together with engineering constraints for AI and large language models.
- Reinforcement-learning-based resource scheduling across CPUs, GPUs, NPUs, memory, and networks.
- Intelligent memory management, from page replacement to context and KV-cache management for AI workloads.
- Intelligent I/O, file systems, and storage-path optimization.
- AI-driven system observability, fault diagnosis, and self-healing operating systems.
- AI-enhanced operating system security and reliability, including observable, understandable, diagnosable, and self-healing OS behavior.
- Dynamically generated OS management interfaces for intelligent human-machine collaboration.
- AI-native memory management, from DRAM pages to KV-cache pages.
- Scheduling systems for LLM inference.
- AI cluster operating systems, including resource abstractions across GPUs, nodes, and data centers.
- Operating system support for AI training systems, including elasticity, fault tolerance, fault resilience, and recoverable execution.
- Key technologies for GPU/TPU operating systems for AI accelerators.
- Operating system technologies for intelligent robots and embodied intelligence.
- Lightweight OS-level AI acceleration for edge and endpoint AI.
- Deterministic latency, multi-tenant isolation, and performance acceleration for cloud services and AI inference services.

Expectations

Be steady, conscientious, and persistent in research and engineering work.
Work well with others, learn from and help one another, and take initiative in learning.
Think deeply, investigate problems thoroughly, and be willing to take on challenges.

Benefits and Support

The work will be based at the Operating Systems Lab of the Department of Computer Science and Technology, Tsinghua University, and at collaborating units of the lab.
Engineers, once hired, will sign a labor contract with Tsinghua University. Tsinghua University will handle housing fund, insurance, personnel files, and related matters according to university regulations.
Interns will receive subsidies comparable to Tsinghua students at the same degree level. Interns from universities outside Beijing may receive accommodation support.
Interns should obtain approval from their current advisors and universities.
Graduation thesis topics and appropriate advising can be provided for interns. Interns may also attend relevant Tsinghua courses and academic talks when needed for their thesis work.
Joint training can be arranged after reaching consensus with the student’s advisor, subject to the requirements of the student’s home university.

Contact

Please send your CV in PDF format directly to yuchen@tsinghua.edu.cn. Use the subject line “Application to Professor Yu Chen’s Operating Systems Lab”.