Research Intern (Inference Infrastructure) - 2027 Start (PhD) PhD Intern - 2027 Start San Jose

ByteDance; San Jose (CA); Híbrido; USD 12 000 - 17 000; Tempo integral

Resumo da oferta

ByteDance in San Jose is offering an internship in the Technology team. The role focuses on building scalable cloud and AI computing infrastructure, with hands-on work on container-based systems and GPU/AI accelerator platforms.

The ideal candidate is pursuing a PhD and can commit to a 12-week Summer 2027 program, with strong knowledge of large model inference, distributed systems, and container tech like Docker and Kubernetes.

Qualificações

• Currently pursuing a PhD in CS/CE/EE or related field.
• Commit for 12 weeks during Summer 2027.
• Strong background in large model inference and distributed systems.
• Hands-on experience building cloud/ML infrastructure (resource mgmt, scheduling, routing, monitoring).
• Knowledge of containers and orchestration tech (Docker, Kubernetes).
• Proficiency in Go, Rust, Python, or C++.

Responsabilidades

• Design and build large-scale, container-based cluster management and orchestration systems.
• Architect cloud-native GPU/AI accelerator infra for cost-efficient ML platforms.
• Collaborate across teams on inference solutions with various LLM engines.
• Stay current with open source and AI/ML infra; apply best practices.
• Write high-quality, production-ready, scalable code.

Conhecimentos

Large model inference

Distributed systems

High-performance networking

Go / Rust / Python / C++

Formação académica

PhD in CS/CE/EE or related

Ferramentas

Docker

Kubernetes

Descrição da oferta de emprego

Join us as we work together to inspire creativity and enrich life around the globe.

Location:

San Jose

Team:

Technology

Employment Type:

Intern

Job Code:

A06834A

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Responsibilities

About the Team

The ByteDance DPU (Data Processing Unit) team builds foundational cloud and AI computing infrastructure for ByteDance and Volcano Engine. Our mission is to advance the architecture, development, and research of next-generation software-hardware co-design technologies across compute, networking, and storage for cloud and AI computing. Our technology stack spans

• - Cloud virtualization, hypervisors, and operating systems
• - High-performance networking, including DPDK and RDMA
• - High-speed interconnects, virtual switching, and network offload
• - Distributed storage and I/O acceleration
• - Orchestration and scheduling for AI/ML workloads

We work at the intersection of systems research, distributed infrastructure, and hardware acceleration. Our technologies operate at cloud scale and help shape the next generation of cloud and AI computing platforms. We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization’s future plans and emerging technologies. Our dynamic internship experience blends hands‑on learning, enriching community‑building and professional development events, and collaboration with industry experts. Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

• - Design and build large-scale, container-based cluster management and orchestration systems with extreme performance, scalability, and resilience.
• - Architect next‑generation cloud‑native GPU and AI accelerator infrastructure to deliver cost‑efficient and secure ML platforms.
• - Collaborate across teams to deliver world‑class inference solutions using vLLM, SGLang, TensorRT‑LLM, and other LLM engines.
• - Stay current with the latest advances in open source (Kubernetes, Ray, etc.), AI/ML and LLM infrastructure, and systems research; integrate best practices into production systems.
• - Write high‑quality, production‑ready code that is maintainable, testable, and scalable.

Qualifications

Minimum Qualifications

• - Currently pursuing a PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
• - Able to commit to working for 12 weeks during Summer 2027.
• - Strong understanding of large model inference, distributed and parallel systems, and/or high‑performance networking systems.
• - Hands‑on experience building cloud or ML infrastructure in areas such as resource management, scheduling, request routing, monitoring, or orchestration.
• - Solid knowledge of container and orchestration technologies (Docker, Kubernetes).
• - Proficiency in at least one major programming language (Go, Rust, Python, or C++).

Preferred Qualifications

• - Experience contributing to or operating large‑scale cluster management systems (e.g., Kubernetes, Ray).
• - Experience with workload scheduling, GPU orchestration, scaling, and isolation in production environments.
• - Hands‑on experience with GPU programming (CUDA) or inference engines (vLLM, SGLang, TensorRT‑LLM).
• - Familiarity with public cloud providers (AWS, Azure, GCP) and their ML platforms (SageMaker, Azure ML, Vertex AI).
• - Strong knowledge of ML systems (Ray, DeepSpeed, PyTorch) and distributed training/inference platforms.
• - Excellent communication skills and ability to collaborate across global, cross‑functional teams.
• - Passion for system efficiency, performance optimization, and open‑source innovation.

Job Information

About Us

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join ByteDance

Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.

Diversity & Inclusion

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Reasonable Accommodation

ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request