Senior GPU Architect – Accelerated Computing

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Accelerated Computing Architect to develop software and system architectures for various computing applications. The role involves optimizing performance on NVIDIA GPUs and collaborating with design and research teams to guide accelerated computing advancements.

The ideal candidate will have at least 6 years of experience, a MS or Ph.D. in a relevant field, and strong skills in GPU programming, C, and C++. The position includes competitive salary ranges and benefits, fostering a diverse work environment.

Qualifications

• 6+ years of relevant work experience.
• Hands-on experience with GPU programming models.
• Good communication, organization, and problem-solving skills.

Responsibilities

• Analyze and optimize performance on NVIDIA GPUs.
• Collaborate with design and research teams.
• Present work through publications and blog posts.

Skills

Performance optimization

CUDA or OpenCL

C and C++ programming

Mathematical fundamentals

Communication skills

Education

MS or Ph.D. in Computer Science, Computer Engineering or Electrical Engineering

Tools

APIs for multi-node communication

Python

Job description

NVIDIA is seeking a Senior Accelerated Computing Architect to develop software and system architectures for various computing applications. The role involves optimizing performance on NVIDIA GPUs and collaborating with design and research teams to guide accelerated computing advancements.

The ideal candidate will have at least 6 years of experience, a MS or Ph.D. in a relevant field, and strong skills in GPU programming, C, and C++. The position includes competitive salary ranges and benefits, fostering a diverse work environment.