GPU-Accelerated Data Processing Architect

Nvidia Corporation; Santa Clara (CA); On-site; USD 235,000 - 357,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Solutions Architect for High-Performance Databases to research and develop techniques to GPU-accelerate data-intensive workloads on modern architectures. You will collaborate with experts across research, hardware, software, libraries, and tools teams to push the performance of database, ETL, and analytics applications.

You will influence next-generation hardware and software designs, engage with industry and academia, and help NVIDIA extend leadership in HPC-driven data

Qualifications

• Masters or PhD in CS/CE or related field, or equivalent experience.
• 8+ years of experience in relevant fields.
• Proficient in C/C++ and parallel programming (CUDA/OpenACC/OpenMP).

Responsibilities

• Research and develop techniques to GPU-accelerate high-performance databases, ETL, and data analytics workloads.
• Collaborate with industry and academia to analyze and optimize data-intensive workloads for current GPU architectures.
• Influence the design of next-generation hardware, software, and programming models with NVIDIA teams.
• Engage with partners to advance data processing across NVIDIA product lines.

Skills

C/C++

CUDA

CPU/GPU architecture

HPC databases

Communication

Education

Masters/PhD in CS/CE or related

Job description

NVIDIA is seeking a Solutions Architect for High-Performance Databases to research and develop techniques to GPU-accelerate data-intensive workloads on modern architectures. You will collaborate with experts across research, hardware, software, libraries, and tools teams to push the performance of database, ETL, and analytics applications.

You will influence next-generation hardware and software designs, engage with industry and academia, and help NVIDIA extend leadership in HPC-driven data