PhD Research Intern — AI Infra & Cloud Compute

Bytedance; San Jose, Northern (CA, KY); Hybrid; USD 34,000 - 48,000; Part time

Job summary

ByteDance in San Jose invites PhD students to join the Compute division internship, focusing on AI infrastructure for large-scale cloud platforms. You will explore AI training and inference stacks, build prototypes, and publish findings. Start/end dates to be defined.

This internship emphasizes hands-on learning and collaboration within a fast-growing tech company. Applicants should be pursuing a PhD with experience in LLM topics, and demonstrate the ability to work independently while

Qualifications

• Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Experience in at least one of the following areas: LLM training/Inference, Physical AI Infra(training, inference, simulation, RL, synthetic data, etc)
• Ability to work independently and complete projects from beginning to end and in a timely manner
• Good communication and teamwork skills to clearly communicate technical concepts with other teammates

Responsibilities

• Explore and develop key technologies for our AI Infra stack, including AI training and inference platforms, AI Agent infrastructure, etc
• Build prototypes to verify the functionality and performance of key components or innovations
• Showcase our research findings and products through academic publications

Skills

PhD student

LLM training/Inference

Independent worker

Teamwork

Education

PhD in Computer Science/Software Engineering/CE

PhD candidate

Tools

PyTorch

vLLM

SGlang

Job description

ByteDance in San Jose invites PhD students to join the Compute division internship, focusing on AI infrastructure for large-scale cloud platforms. You will explore AI training and inference stacks, build prototypes, and publish findings. Start/end dates to be defined.

This internship emphasizes hands-on learning and collaboration within a fast-growing tech company. Applicants should be pursuing a PhD with experience in LLM topics, and demonstrate the ability to work independently while