GPU-Accelerated Data Processing Architect

2100 NVIDIA USA; California (MO); On-site; USD 224,000 - 357,000; Full time

Job summary

NVIDIA is seeking a Solutions Architect for High-Performance Databases to research and develop GPU-accelerated techniques for database, ETL, and data analytics workloads. You will work with experts across hardware, software, and libraries to optimize performance on NVIDIA architectures.

Successful candidates have a PhD/masters in a relevant field, 8+ years of experience, and deep C/C++ and CUDA/OpenMP/OpenACC/MPI expertise, with strong communication and problem-solving abilities.

Qualifications

• Master's or PhD in CS/CE or related field (or equivalent experience)
• 8+ years of experience in relevant domains
• Fluency in C/C++ and strong software design skills
• Experience with low-level parallel programming and GPU acceleration
• Deep knowledge of CPU/GPU architectures and memory subsystems
• Domain expertise in high-performance databases, ETL, data analytics, or vector databases

Responsibilities

• Research and develop techniques to GPU-accelerate high-performance databases, ETL and data analytics applications
• Collaborate with experts to optimize data-intensive workloads on current GPU architectures
• Influence hardware/software design and programming models with NVIDIA teams
• Engage partners in industry and academia to extend NVIDIA's data processing applications

Skills

High performance databases

ETL

Data analytics

Vector database

CPU/GPU architecture fundamentals

Memory subsystem optimization

Programming in C/C++

Communication and organization

Education

Masters or PhD in Computer Science/Computer Engineering or related field

Tools

CUDA

OpenACC

OpenMP

MPI

pthreads

TBB

Job description

NVIDIA is seeking a Solutions Architect for High-Performance Databases to research and develop GPU-accelerated techniques for database, ETL, and data analytics workloads. You will work with experts across hardware, software, and libraries to optimize performance on NVIDIA architectures.

Successful candidates have a PhD/masters in a relevant field, 8+ years of experience, and deep C/C++ and CUDA/OpenMP/OpenACC/MPI expertise, with strong communication and problem-solving abilities.