Software Engineer Intern… at ByteDance · Seattle

Summary: ByteDance is a tech company founded in 2012, known for its innovative products like TikTok. They are seeking a Software Engineer Intern to join the Data-AML-Engine Orchestration team, where the intern will work on building machine learning infrastructure and orchestration systems that enhance online model serving capabilities.

Responsibilities:
- Design and build foundational orchestration capabilities for machine learning platforms, including Kubernetes Operators, container runtimes, and lifecycle management for jobs, services, and stateful workloads
- Build multi-tenant resource and quota systems that support priorities, preemption, fair sharing, elasticity, and cross-cluster scheduling. Improve GPU utilization and cost efficiency through resource pooling and FinOps
- Build 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 capabilities for disaggregated serving clusters, including topology-aware scheduling, KV Cache affinity, intelligent request routing, and QoS/SLA management

Required Qualifications:
- 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 a solid foundation in data structures, algorithms, and software engineering principles
- Familiarity with Linux and a foundational understanding of operating systems, computer networks, concurrent programming, and distributed systems
- Strong hands-on and exploratory abilities, with a willingness to investigate systems through source code, metrics, logs, profiling, and experiments
- A systematic and quantitative approach to problem solving, with the ability to define measurements, test hypotheses, and validate system improvements
- Demonstrated ownership and collaboration through coursework, research, internships, open-source contributions, or other engineering projects

Preferred Qualifications:
- Experience with Kubernetes, container runtimes, resource scheduling, quota management, multi-tenant systems, or FinOps
- Contributions to open-source infrastructure projects such as Kubernetes, Volcano, Koordinator, or OpenKruise
- Experience with model serving systems such as vLLM, SGLang, Triton, KServe, or Ray Serve, or an understanding of KV Cache, Continuous Batching, Prefill/Decode disaggregation, or model parallelism
- Experience with online services, gateways, traffic management, autoscaling, performance optimization, or highly available distributed systems
- Experience with GPU/NPU programming, heterogeneous resource scheduling, model distribution, or inference performance analysis

Required Skills: Go, C++, Python, Data Structures, Algorithms, Software Engineering Principles, Linux, Operating Systems, Computer Networks, Concurrent Programming, Distributed Systems, Kubernetes, Container Runtimes, Resource Scheduling, Quota Management, Multi-tenant Systems, FinOps, Model Serving Systems, GPU Programming, NPU Programming, Traffic Management, Autoscaling, Performance Optimization, Highly Available Distributed Systems

Internship Start Date: Start in 2027

Benefits: Day one access to health insurance, Day one access to life insurance, Day one access to wellbeing benefits and more, 10 paid holidays per year, 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