PhD Research Intern: Cloud & AI Systems

ByteDance

San Jose (CA)

Vor Ort

USD 70.000 - 95.000

Vollzeit

vor 13 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health insurance
Life insurance
Wellbeing benefits
Housing allowance
Paid holidays

Zusammenfassung

ByteDance is seeking PhD students for a 12-week Summer 2027 internship in the Data Processing Unit (DPU) team. You will design scalable cluster management systems, architect GPU/AI infrastructure, and collaborate on inference solutions using leading frameworks.

Candidates should be pursuing a PhD and have experience with Docker/Kubernetes and ML infrastructure. The internship offers hands-on learning, professional development, and exposure to industry-grade cloud and AI computing platforms.

Qualifikationen

  • Currently pursuing a PhD in CS, CE, EE, or related field.
  • Able to commit to 12 weeks during Summer 2027.
  • Strong understanding of large model inference, distributed and parallel systems.
  • Hands-on experience building cloud or ML infrastructure (resource management, scheduling, routing, monitoring, or orchestration).
  • Solid knowledge of Docker and Kubernetes.
  • Proficiency in Go, Rust, Python, or C++.

Aufgaben

  • Design and build large-scale, container-based cluster management and orchestration systems with extreme performance, scalability, and resilience.
  • Architect next-generation cloud-native GPU and AI accelerator infrastructure to deliver cost-efficient and secure ML platforms.
  • Collaborate across teams to deliver world-class inference solutions using vLLM, SGLang, TensorRT-LLM, and other LLM engines.
  • Stay current with the latest advances in open source (Kubernetes, Ray, etc.), AI/ML and LLM infrastructure, and systems research; integrate best practices into production systems.
  • Write high-quality, production-ready code that is maintainable, testable, and scalable.

Kenntnisse

Large model inference
Distributed systems
High-performance networking
Docker & Kubernetes
Go / Rust / Python / C++
Cloud infrastructure

Ausbildung

PhD in CS/CE/EE or related

Tools

Docker
Kubernetes
CUDA
Ray
TensorRT-LMM

Jobbeschreibung

ByteDance is seeking PhD students for a 12-week Summer 2027 internship in the Data Processing Unit (DPU) team. You will design scalable cluster management systems, architect GPU/AI infrastructure, and collaborate on inference solutions using leading frameworks.

Candidates should be pursuing a PhD and have experience with Docker/Kubernetes and ML infrastructure. The internship offers hands-on learning, professional development, and exposure to industry-grade cloud and AI computing platforms.

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