Job Description

About the Team
The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.

We are looking for talented individuals to join us for an internship in 2026. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Responsibilities
- Contribute to AI compiler optimizations for training and inference workloads
- Develop and extend MLIR-based compiler passes for graph lowering, optimization, and code generation
- Optimize model execution on GPU and NPU accelerators, focusing on performance, memory efficiency, and scalability
- Support model deployment pipelines, including compilation, packaging, and runtime integration
- Assist with distributed training and inference acceleration, such as parallel execution, communication optimization, and runtime scheduling
- Benchmark, profile, and analyze performance of large-scale models across different hardware backends
- Collaborate with researchers and engineers to translate model and system requirements into compiler and runtime improvements

annually.