Senior AI Software Engineer, Kernel Libraries

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack! We build innovative AI systems software to accelerate for AI inference. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads.

What you'll be doing:

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

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)

Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar)

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.

Applications for this job will be accepted at least until June 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.