1 day ago
Shanghai, ChinaIntern
Responsibilities
- Design, develop, and optimize AI Agent runtimes, agent kernels, and task execution frameworks.
- Research and improve agent planning, reasoning, tool invocation, execution efficiency, reliability, and scalability.
- Develop workflows, memory systems, tool-use components, task orchestration, context management, state management, and multi-agent collaboration capabilities.
- Build performance evaluation, profiling, and monitoring frameworks for Agent systems.
- Identify and resolve performance bottlenecks in large-scale and complex workloads and support production deployment of Agent technologies.
Requirements
- Be a master’s or PhD student in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
- Be proficient in Python with solid coding skills and good software engineering practices.
- Have in-depth knowledge of at least one area in deep learning systems or large model inference, including technologies such as PyTorch, TorchDynamo, FX, or Inductor.
- Understand large language models beyond API-level usage, including inference behavior, performance bottlenecks, and engineering constraints.
- Be able to decompose complex engineering problems into executable AI Agent task structures.
- Preferred qualifications include experience with large model quantization, inference acceleration or deployment frameworks, low-level kernel or operator optimization, AI Agent deployment, automated testing, benchmarking, CI, performance analysis tools, or relevant open-source contributions.
Benefits
- Student/intern position requiring an internship commitment of at least 4 months.
- On-site work in Shanghai, China, 4 days per week or more.
- The role requires an on-site presence; posting details such as work model, location, or time type may change.
Categories
About Intel
Intel is a public semiconductor company that designs and manufactures CPUs and other silicon for PCs, servers, networking, edge, and embedded systems, and also offers foundry services plus AI and graphics accelerators. Founded in 1968 and headquartered in Santa Clara, it sells primarily to OEMs, cloud providers, and device makers worldwide. Its portfolio includes x86 processors (Core and Xeon), Ethernet and chipset products, and the Mobileye autonomous driving platform.
