Senior Deep Learning Hardware Architect (Equity Eligible)

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 287,500; Full time

Job summary

A leading technology company in Santa Clara is seeking a Senior Deep Learning Computer Architect to design hardware architectures that advance state-of-the-art machine learning. In this role, you will analyze deep learning methods, collaborate with teams, and contribute to GPU features. Candidates should have a MS or PhD in a related field, over 5 years of relevant experience, and fluency in C++. Compensation ranges from 184,000 to 287,500 USD, with eligibility for equity and benefits.

Qualifications

• MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience.
• 5+ years of relevant experience in areas like computer architecture and performance analysis.
• Programming fluency with C++ and ideally Python.

Responsibilities

• Contribute to features that help next-generation GPUs advance the state of AI.
• Collaborate with teams including DL researchers, hardware architects, and software engineers.
• Analyze behavior of various deep learning methods and propose new features.

Skills

Computer architecture

Performance analysis and optimization

Programming fluency with C++

Deep learning frameworks like PyTorch

Experience with GPU computing (CUDA)

Education

MS or PhD degree in computer science or related field

Job description

A leading technology company in Santa Clara is seeking a Senior Deep Learning Computer Architect to design hardware architectures that advance state-of-the-art machine learning. In this role, you will analyze deep learning methods, collaborate with teams, and contribute to GPU features. Candidates should have a MS or PhD in a related field, over 5 years of relevant experience, and fluency in C++. Compensation ranges from 184,000 to 287,500 USD, with eligibility for equity and benefits.