Senior DL Hardware Architect: AI GPU Innovation

NVIDIA; Santa Clara (CA); On-site; USD 180,000 - 419,750; Full time

Job summary

NVIDIA is seeking a Deep Learning Computer Architect in Santa Clara, CA. You will design hardware architectures for cutting-edge machine learning and data analytics. The role involves collaborating with diverse teams, contributing to next-generation GPU features, and requires at least a MS or PhD in a related field with a minimum of 5 years of relevant experience. The base salary range is between $180,000 and $419,750, based on location and experience.

Qualifications

• MS or PhD degree in a related field or equivalent experience.
• 5+ years of experience in computer architecture and performance optimization.
• Programming fluency in C++ and ideally Python.

Responsibilities

• Contribute to features for next-generation GPUs in deep learning architecture.
• Collaborate with DL researchers and software engineers.
• Analyze deep learning methods and propose new features.

Skills

Deep learning architectures

Performance analysis and optimization

Programming fluency with C++

Experience with GPU computing (CUDA)

Experience with deep learning frameworks (PyTorch)

Education

MS or PhD in computer science, computer architecture, electrical engineering or related field

Job description

NVIDIA is seeking a Deep Learning Computer Architect in Santa Clara, CA. You will design hardware architectures for cutting-edge machine learning and data analytics. The role involves collaborating with diverse teams, contributing to next-generation GPU features, and requires at least a MS or PhD in a related field with a minimum of 5 years of relevant experience. The base salary range is between $180,000 and $419,750, based on location and experience.