Software Engineer

• Build and enhance high-performance LLM inference pipelines
• Analyze and optimize model execution, scalability, and memory usage
• Collaborate across framework and research teams to deliver efficient multi-GPU model serving
• Improve TensorRT compiler graph transformations and code generation for NVIDIA GPUs
• Develop compiler optimization passes
• Refine operator fusion and memory allocation
• Collaborate with CUDA and hardware architecture teams
• Design and tune GPU compute kernels and DSL implementations for GEMM, MoE, Attention, and Convolution
• Profile, analyze, and improve CUDA kernel performance to maximize GPU efficiency

AI Computing Software Development Intern

• Craft and develop robust inferencing software scalable across multiple platforms for functionality and performance
• Conduct performance analysis, optimization, and tuning
• Follow academic developments in artificial intelligence and large language models
• Provide feedback on architecture, hardware design, and development
• Collaborate across software, research, and product teams to guide machine learning inferencing direction
• Publish key results in scientific conferences

AI Computing Software Development Intern, LLM Inference

• Manage the plant Industrial Engineering function, overseeing daily operations, resource allocation, and performance delivery across PMO, IE, ME, and Lean teams
• Develop and drive industrial engineering plans supporting capacity planning, productivity improvement, cost optimization, and production process enhancement
• Lead key IE projects and improvement initiatives to identify bottlenecks, reduce waste, and improve shopfloor operational efficiency
• Drive lean manufacturing implementation, organizing waste identification, IE tools application, and continuous improvement activities
• Collaborate with Production, Quality, Maintenance, Supply Chain, and other functions on cross-functional improvement projects
• Ensure project goals are achieved on schedule
• Establish and optimize IE standards, processes, and data analysis mechanisms
• Improve accuracy and consistency of labor, capacity, layout, and efficiency management
• Develop and manage team members, clarify responsibilities, strengthen professional capabilities, and improve team collaboration and execution

资深工业工程师, TL

• Develop new AI chatbot features
• Enhance AI chatbot functionality
• Fix AI chatbot bugs
• Conduct performance testing
• Maintain AI application infrastructure