Senior AI Software Engineer, Kernel Libraries

NVIDIA Ltd.
Santa Clara, United States of America
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 214K

Job location

Santa Clara, United States of America

Tech stack

Adobe Flash
Artificial Intelligence
Apache HTTP Server
Systems Engineering
Nvidia CUDA
Computer Programming
Python
Machine Learning
Open Source Technology
Systems Development Life Cycle
TensorFlow
Software Engineering
PyTorch
Large Language Models
Deep Learning
Information Technology

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

Requirements

  • 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

Benefits & conditions

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.

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