Senior GPU HPC Architect — CUDA & AI Systems

NVIDIA Corporation; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Job summary

A leading technology company is seeking a Senior Accelerated Computing Architect to optimize performance on NVIDIA GPUs and develop core algorithms. The ideal candidate will have a strong background in computer science or engineering with at least 6 years of experience, alongside expertise in programming models like CUDA or OpenCL. This role involves collaboration with multiple teams and demands excellent problem-solving abilities. The position is located in Santa Clara, California, and offers a competitive salary along with equity options.

Qualifications

• 6+ years of relevant work experience.
• Strong knowledge of software design, programming techniques, and algorithms.
• Good communication and organization skills.

Responsibilities

• Perform in-depth analysis and optimization for NVIDIA GPUs.
• Create and optimize parallel algorithms and data structures.
• Collaborate with hardware design and software engineering teams.

Skills

Performance optimization

CUDA or OpenCL

C and C++

Mathematical fundamentals

Education

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

Tools

MPI or OpenSHMEM/NVSHMEM

Python

Job description

A leading technology company is seeking a Senior Accelerated Computing Architect to optimize performance on NVIDIA GPUs and develop core algorithms. The ideal candidate will have a strong background in computer science or engineering with at least 6 years of experience, alongside expertise in programming models like CUDA or OpenCL. This role involves collaboration with multiple teams and demands excellent problem-solving abilities. The position is located in Santa Clara, California, and offers a competitive salary along with equity options.