Senior AI Systems Engineer: GPU Kernels & Inference Equity

NVIDIA AI; Michigan; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Health Insurance

Job summary

NVIDIA AI is seeking a senior AI systems engineer to innovate and develop AI technologies for efficient inference. You will design, implement, and optimize kernels for high-impact workloads while collaborating with engineers across NVIDIA teams to push the boundaries of performance and scalability.

The role requires a strong foundation in ML/DL systems with a Masters or PhD preference and extensive experience in Python and C/C++.

Qualifications

• Master's degree in CS, EE, or related field; PhD preferred.
• Minimum 6 years of experience in ML/DL systems development; strong Python and C/C++ skills.

Responsibilities

• Innovate and develop new AI systems technologies for efficient inference.
• Design, implement, and optimize kernels for high-impact AI workloads.
• Collaborate with NVIDIA engineers across teams to drive results.

Skills

Machine Learning

Deep Learning

Python

C/C++

GPU Kernel Development

Performance Optimization

Matrix Multiplication

AI Systems

Inference Engines

Domain Specific Compilers

Open Source Contributions

LLM Serving Engines

CUDA

Triton

FlashInfer

SGLang

Education

Master's degree in Computer Science, Electrical Engineering, or related field

PhD preferred

Tools

CUDA

Triton

FlashInfer

SGLang

Job description

NVIDIA AI is seeking a senior AI systems engineer to innovate and develop AI technologies for efficient inference. You will design, implement, and optimize kernels for high-impact workloads while collaborating with engineers across NVIDIA teams to push the boundaries of performance and scalability.

The role requires a strong foundation in ML/DL systems with a Masters or PhD preference and extensive experience in Python and C/C++.