ByteDance's Core Compute Infrastructure organization is building the next generation of cloud-native, GPU-optimized orchestration systems to support rapidly growing businesses and a global fleet of machines running hundreds of millions of containers daily. The Inference Infrastructure team is focused on LLM inference infrastructure to support new AI workloads, aiming to deliver infrastructure that is highly performant, massively scalable, cost-efficient, and easy to use.
Requirements
- 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++).
- Experience contributing to or operating large-scale cluster management systems (e.g., Kubernetes, Ray).
- Experience with workload scheduling, GPU orchestration, scaling, and isolation in production environments.
- Hands-on experience with GPU programming (CUDA) or inference engines (vLLM, SGLang, TensorRT-LLM).
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.
Other
- PhD Internships at ByteDance aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
- Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
- Applications will be reviewed on a rolling basis - we encourage you to apply early.
- Please state your availability clearly in your resume (Start date, End date).
- Excellent communication skills and ability to collaborate across global, cross-functional teams.
