Senior AI Systems Engineer - Inference & GPU Kernels

NVIDIA; Westford (MA); On-site; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks outstanding AI systems engineers to advance the inference software stack for high-impact workloads. You will develop libraries, code generators, and GPU kernel tech for NVIDIA hardware, building abstractions for LLM serving and just-in-time compilers across frameworks and runtimes.

Required: Masters in CS/EE (PhD preferred), 6+ years in ML/DL systems, strong Python/C++, and CUDA-based GPU kernel work. Eligible for equity and benefits as part of the package.

Qualifications

• Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD 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
• Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar) with hands-on experience with Matrix Multiplication.

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 at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams
• Contributing to open source communities like FlashInfer, vLLM, and SGLang

Skills

Python programming

C/C++ programming

GPU kernel development

CUDA

Performance optimization

ML/DL systems development

Education

Masters degree in Computer Science or Electrical Engineering

PhD preferred

Tools

PyTorch

JAX

TensorFlow

ONNX

vLLM

SGLang

Triton

MLIR

Job description

NVIDIA seeks outstanding AI systems engineers to advance the inference software stack for high-impact workloads. You will develop libraries, code generators, and GPU kernel tech for NVIDIA hardware, building abstractions for LLM serving and just-in-time compilers across frameworks and runtimes.

Required: Masters in CS/EE (PhD preferred), 6+ years in ML/DL systems, strong Python/C++, and CUDA-based GPU kernel work. Eligible for equity and benefits as part of the package.