Software Engineer, AI and DL Kernel Libraries

NVIDIA

AI Systems Engineer innovating AI systems technologies for efficient inference at NVIDIA. Collaborating across deep learning frameworks and contributing to open source communities.

Posted 5/19/2026full-timeRemote • California • 🇺🇸 United StatesJuniorMid-Level💰 $124,000 - $195,500 per yearWebsite

Tech Stack

Tools & technologies

Open SourcePythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred
2 + 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)

Benefits

Comp & perks

equity
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Hard Skills & Tools

AI systems technologieskernels optimizationdeep learning frameworksPythonC/C++GPU kernel developmentperformance optimizationCUDAjust-in-time compilersinference engines

Soft Skills

collaboration

Certifications

Masters degreePhD