Senior Software Engineer, Matrix Multiplication

Overview We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture, designing and building new abstractions, efficient attention kernel implementations, LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads. 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 across deep learning frameworks, libraries, kernels, and GPU architecture teams. Contributing to open-source communities like FlashInfer, vLLM, and SGLang. Qualifications Master's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD preferred. 6+ years of academic or industry experience with ML/DL systems development. Strong experience in developing or using deep learning frameworks such as 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 using CUDA C/C++, cuTile, Triton, or similar. Hands‑on experience with Matrix Multiplication. Ways to Stand Out 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 such as Apache TVM, MLIR. Open‑source project ownership or contributions. Compensation Base salary range: $184,000–$287,500 USD, determined based on location, experience, and comparable positions. Eligible for equity and benefits. Additional Information Applications for this role will be accepted until July18,2026. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and is a proud equal‑opportunity employer. We do not discriminate on any protected characteristic as mandated by law. #J-18808-Ljbffr NVIDIA Corporation