Responsibilities
- Design and build machine learning platform orchestration capabilities using Kubernetes Operators, container runtimes, and workload lifecycle management.
- Develop multi-tenant resource, quota, priority, preemption, fair-sharing, elasticity, and cross-cluster scheduling systems.
- Improve GPU utilization and cost efficiency through resource pooling and FinOps.
- Build online model-serving lifecycle capabilities covering model and image distribution, deployment, upgrades, rollback, autoscaling, multi-cluster operation, and disaster recovery.
- Develop topology-aware scheduling, KV Cache affinity, intelligent request routing, and QoS/SLA management for disaggregated serving clusters.
Requirements
- Be completing or have recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
- Be proficient in at least one of Go, C++, or Python and have a solid foundation in data structures, algorithms, and software engineering principles.
- Have foundational knowledge of Linux, operating systems, computer networks, concurrent programming, and distributed systems.
- Demonstrate hands-on investigation and exploratory abilities using source code, metrics, logs, profiling, and experiments.
- Use a systematic and quantitative approach to define measurements, test hypotheses, and validate system improvements.
- Demonstrate 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, model-serving systems, online services, gateways, traffic management, autoscaling, distributed systems, GPU/NPU programming, and inference performance analysis.
- Preferred familiarity includes Volcano, Koordinator, OpenKruise, vLLM, SGLang, Triton, KServe, Ray Serve, KV Cache, Continuous Batching, Prefill/Decode disaggregation, and model parallelism.
Benefits
- Graduate opportunity 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.
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.