Research Intern, Cloud & AI Systems

ByteDance; Seattle (WA); On-site; USD 55,000 - 83,000; Full time

Job summary

ByteDance's DPU team in Seattle is seeking a PhD student to join as an internship for 12 weeks in Summer 2027. You will design and build scalable cluster management systems and contribute to AI accelerator infrastructure.

You'll work with Kubernetes, Docker, and modern ML inference tools (vLLM, TensorRT-LLM) across cloud-native platforms, collaborating with global teams to advance cloud and AI computing at scale.

Qualifications

• Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
• Able to commit to working for 12 weeks during Summer 2027.
• Strong understanding of large model inference, distributed and parallel systems, and/or high-performance networking systems.
• Hands-on experience building cloud or ML infrastructure in areas such as resource management, scheduling, request routing, monitoring, or orchestration.
• Solid knowledge of container and orchestration technologies (Docker, Kubernetes).
• Proficiency in at least one major programming language (Go, Rust, Python, or C++).

Responsibilities

• 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.

Skills

Go

Python

C++

Docker

Kubernetes

CUDA

Distributed systems

vLLM

Education

PhD in CS/CE/EE

Tools

Docker

Kubernetes

Ray

TensorRT-LLM

Job description

ByteDance's DPU team in Seattle is seeking a PhD student to join as an internship for 12 weeks in Summer 2027. You will design and build scalable cluster management systems and contribute to AI accelerator infrastructure.

You'll work with Kubernetes, Docker, and modern ML inference tools (vLLM, TensorRT-LLM) across cloud-native platforms, collaborating with global teams to advance cloud and AI computing at scale.