Senior Software Engineer, AI and DL Kernel Libraries

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

What We Need To See

• 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)

Ways To Stand Out From The Crowd

• 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

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits.