Senior AI Inference Performance Architect

NVIDIA; California (MO); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

A leading technology company in California is seeking a Senior Deep Learning Performance Architect to push AI inference performance boundaries. The role involves designing novel GPU architectures and optimizing AI systems. Ideal candidates will have a strong mathematical foundation and programming skills in C/C++. The base salary ranges from $152,000 to $241,500, depending on experience. Equity and benefits are also offered.

Qualifications

• 5+ years of relevant experience.
• Strong mathematical foundation in machine learning and deep learning.
• Expert programming skills in C, C++, and/or Python.

Responsibilities

• Design novel GPU and system architectures for AI inference performance.
• Investigate and test deep learning algorithms and applications.
• Analyze hardware and software architecture relationships.

Skills

Mathematical foundation in machine learning and deep learning

Programming skills in C, C++, and/or Python

Familiarity with GPU computing (CUDA or similar)

Knowledge in computer architecture

Education

MS or PhD in a relevant field (CS, EE, Math)

Tools

CUDA

HPC (MPI, OpenMP)

Job description

A leading technology company in California is seeking a Senior Deep Learning Performance Architect to push AI inference performance boundaries. The role involves designing novel GPU architectures and optimizing AI systems. Ideal candidates will have a strong mathematical foundation and programming skills in C/C++. The base salary ranges from $152,000 to $241,500, depending on experience. Equity and benefits are also offered.