Senior AI Software Engineer, Kernel Libraries at NVIDIA

**Who this is for** This role is for experienced AI systems engineers passionate about the infrastructure layer of generative AI, specifically focusing on devel

Work type: remote

Location: US, CA, Santa Clara | US, Remote

Salary: $184,000 – $287,500/yr

Type: Full-time

Summary

**Who this is for** This role is for experienced AI systems engineers passionate about the infrastructure layer of generative AI, specifically focusing on developing high-performance libraries and compilers for GPU inference. **Key highlights** You will work at the cutting edge of AI acceleration, designing efficient kernel implementations and abstractions to enhance LLM runtimes, while actively contributing to key open-source projects like vLLM and FlashInfer. **You might be a good fit if you...** - Have 6+ years of experience in ML/DL systems development. - Possess strong proficiency in Python and C/C++ programming. - Have expertise in GPU kernel development (CUDA/Triton) and performance optimization. - Are familiar with inference engines and deep learning frameworks like PyTorch or JAX.

Job Description

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

• 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

• 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

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 26, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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