AI Compute Scheduler Intern (PhD)

Bytedance; San Jose, Northern (CA, KY); Hybrid; USD 48,000 - 62,000; Part time

Job summary

ByteDance is offering a PhD internship in its AI-driven infrastructure team in California. You will contribute to the intelligent scheduling platform, Godel, and help optimize the use of compute, memory, and power across a massive fleet of machines.

The role emphasizes hands-on projects, collaboration, and professional development. Ideal candidates are pursuing a PhD in CS or related fields, can commit to a 12-week Summer 2027 internship, and have coding experience in Go, C++, Python, Java, or

Qualifications

• Currently pursuing a PhD in Computer Science or a related discipline.
• Experience coding in Go, C++, Python, Java, or C#.
• Exposure to Linux, containers, or Kubernetes is a plus but not required.

Responsibilities

• Work on a real project within our scope, for example improving the intelligent, AI-driven scheduler.
• Explore ways to get more useful work from the same hardware, optimizing compute/memory/power.
• Build tools to help a global platform run reliably and autonomously with AI-assisted automation.

Skills

Go

C++

Python

Java

C#

Education

PhD in Computer Science or related

Tools

Kubernetes

Job description

ByteDance is offering a PhD internship in its AI-driven infrastructure team in California. You will contribute to the intelligent scheduling platform, Godel, and help optimize the use of compute, memory, and power across a massive fleet of machines.

The role emphasizes hands-on projects, collaboration, and professional development. Ideal candidates are pursuing a PhD in CS or related fields, can commit to a 12-week Summer 2027 internship, and have coding experience in Go, C++, Python, Java, or