Responsibilities
- Design and build orchestration capabilities for machine learning platforms, including Kubernetes Operators, container runtimes, and workload lifecycle management.
- 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, intelligent request routing, and QoS/SLA management.
Requirements
- Completing or recently completed 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 a foundation in data structures, algorithms, and software engineering principles.
- Familiarity with Linux, operating systems, computer networks, concurrent programming, and distributed systems.
- Ability to investigate systems using source code, metrics, logs, profiling, and experiments.
- Quantitative and systematic problem-solving skills, including defining measurements, testing hypotheses, and validating improvements.
- Demonstrated ownership and collaboration through coursework, research, internships, open-source contributions, or engineering projects.
- Preferred experience with Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, or FinOps.
- Preferred contributions to infrastructure projects such as Kubernetes, Volcano, Koordinator, or OpenKruise.
- Preferred experience with model-serving systems such as vLLM, SGLang, Triton, KServe, or Ray Serve, or knowledge of KV Cache, Continuous Batching, Prefill/Decode disaggregation, or model parallelism.
- Preferred experience with online services, gateways, traffic management, autoscaling, performance optimization, highly available distributed systems, GPU/NPU programming, heterogeneous resource scheduling, model distribution, or inference performance analysis.
Benefits
- Graduate role with opportunities to pursue bold ideas, tackle complex challenges, and grow.
- Candidates must be able to commit to an onboarding date by the end of the year and should state availability and graduation date in their resume.
- Applications are reviewed on a rolling basis, and candidates may apply to a maximum of two company or affiliate positions 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.