Responsibilities
- Design and build Kubernetes Operators, container runtime integrations, and lifecycle management for machine learning jobs, services, and stateful workloads.
- Build multi-tenant resource and quota systems supporting priorities, preemption, fair sharing, elasticity, and cross-cluster scheduling.
- Improve GPU utilization and cost efficiency through resource pooling and FinOps.
- Develop lifecycle orchestration for online model serving, including model and image distribution, deployment, upgrades, rollback, autoscaling, multi-cluster operation, and disaster recovery.
- Build serving orchestration and traffic management for disaggregated serving clusters, including topology-aware scheduling, KV Cache affinity, request routing, and QoS/SLA management.
Requirements
- Currently pursuing a bachelor’s or master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
- Proficiency in at least one of Go, C++, or Python, with foundations in data structures, algorithms, and software engineering principles.
- Familiarity with Linux and foundational knowledge of operating systems, computer networks, concurrent programming, and distributed systems.
- Ability to investigate systems using source code, metrics, logs, profiling, and experiments, with a systematic and quantitative approach to problem solving.
- Demonstrated ownership and collaboration through coursework, research, internships, open-source contributions, or other engineering projects.
- Preferred experience includes Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, FinOps, or contributions to infrastructure projects such as Kubernetes, Volcano, Koordinator, or OpenKruise.
- Preferred experience includes model-serving systems such as vLLM, SGLang, Triton, KServe, or Ray Serve; online services and gateways; traffic management; autoscaling; performance optimization; highly available distributed systems; GPU/NPU programming; heterogeneous resource scheduling; model distribution; or inference performance analysis.
Benefits
- Internship program with hands-on experience, industry exposure, real-world engineering work, social events, learning programs, and development workshops.
- Applications are reviewed on a rolling basis, and candidates should state their availability and start and end dates in their resume.
- Candidates may apply to a maximum of two positions across the company and its affiliates globally.
Tech Stack
Categories
About ByteDance
ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. We are committed to building a safe, healthy and positive online environment for all our users. We have over 110,000 employees based in more than 30 countries globally. Join us.