Senior Deep Learning Hardware Architect

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation is seeking a Senior Deep Learning Computer Architect to design hardware accelerators and processor architectures for state-of-the-art AI across mobile, embedded, and datacenter platforms. You will analyze DL methods, propose features to accelerate them, and collaborate with DL researchers, hardware architects, and software engineers worldwide.

As part of the DL architecture team, you will keep up with the latest DL research, drive features for next-generation GPUs, and help

Qualifications

• MS or PhD in computer science, computer architecture, electrical engineering or related field or equivalent experience.
• 5+ years of relevant experience in computer architecture, performance analysis and optimization, LLM workloads, matrix multiply/attention/convolution, CUDA, PyTorch.

Responsibilities

• Analyze behavior of deep learning methods and propose features to accelerate or enable methods.
• Collaborate with DL researchers, hardware architects and software engineers to advance GPU architectures.
• Study benefits of proposed features and contribute to next-generation DL hardware platforms.

Skills

GPU architecture

Performance analysis

LLM workloads

Matrix multiply

Attention

Convolution

C++

Python

CUDA

PyTorch

Education

MS or PhD in CS/EE

Tools

CUDA

PyTorch

Job description

NVIDIA Corporation is seeking a Senior Deep Learning Computer Architect to design hardware accelerators and processor architectures for state-of-the-art AI across mobile, embedded, and datacenter platforms. You will analyze DL methods, propose features to accelerate them, and collaborate with DL researchers, hardware architects, and software engineers worldwide.

As part of the DL architecture team, you will keep up with the latest DL research, drive features for next-generation GPUs, and help