Senior Software Engineer, Matrix Multiplication

NVIDIA is a leader in AI technology, and they are seeking a Senior Software Engineer to develop innovative AI systems software for inference. The role involves designing and optimizing kernels for high-impact AI workloads and collaborating with other engineers to enhance NVIDIA's hardware architecture.

Responsibilities:

• Innovating and developing new AI systems technologies for efficient inference
• Designing, implementing, and optimizing kernels for high impact AI workloads
• Designing and implementing extensible abstractions for LLM serving engines
• Building efficient just-in-time domain specific compilers and runtimes
• Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams
• Contributing to open source communities like FlashInfer, vLLM, and SGLang

Requirements:

• Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred
• 6+ years (academic/ industry) experience with ML/DL systems development preferable
• Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC
• Strong Python and C/C++ programming skills
• Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar) with hands-on experience with Matrix Multiplication
• Background in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)
• Expertise in inference engines like vLLM and SGLang
• Expertise in machine learning compilers (e.g. Apache TVM, MLIR)
• Open source project ownership or contributions