AI Infrastructure Engineer Intern (Compute Efficiency & Scheduling) - 2027 Summer

Public source summary from intern-list.com / Jobright.

ByteDance is a technology company developing large-scale digital platforms and AI products. The AI Infrastructure Engineer Intern will work on a real project involving intelligent workload scheduling, compute efficiency, infrastructure reliability, or AI-assisted automation across large-scale systems.

Responsibilities

We decide how ByteDance's massive fleet of computers gets used — turning hundreds of clusters and millions of daily workloads (microservices, big data, and large AI/LLM jobs) into a system that's highly efficient, reliable, and increasingly self-managing, powered by our own intelligent scheduling platform Godel (open-sourced to the community).

Our mission: get the most value out of every unit of computing power, at a scale few places in the world can offer, and let AI increasingly help run the infrastructure We are looking for talented individuals to join us for an internship.

Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals Candidates may apply to a maximum of two positions across Our Company and its affiliates globally.

Applications will be considered in the order they are submitted Applications are reviewed on a rolling basis, so we encourage you to apply early.

Please clearly state your availability in your resume, including your start and end dates Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment Help make our intelligent, AI-driven scheduler smarter at placing and balancing workloads Explore new ways to get more useful work out of the same hardware — smarter use of compute, memory, or power Build tools that help a global platform run reliably and increasingly manage itself, including AI-agent-assisted automation

Qualifications: Currently pursuing a Undergraduate/ Master's in Computer Science or a related discipline Able to commit to a 12-week internship during Summer 2027 Experience coding in Go, C++, Python, Java, or C# Intent to return to your degree program after the internship Strong fundamentals in systems, distributed computing, or software engineering — shown through internships, work, research, competitions, or projects Curiosity about large-scale or AI/ML infrastructure Exposure to Linux, containers, or Kubernetes is a plus but not required High creativity and quick problem-solving

Benefits: Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

Internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth. Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.