Senior Solutions Architect, GPU-Accelerated Data Processing

NVIDIA Corporation; Northern (KY); Hybrid; USD 184,000 - 357,000; Full time

Job summary

NVIDIA Corporation in the United States is seeking a Solutions Architect for High-Performance Databases to push GPU-accelerated data workloads to the edge of performance. In this role you will research and develop techniques to GPU-accelerate databases, ETL and data analytics, working with other experts to optimize memory, bandwidth and parallelism on modern architectures.

The ideal candidate has a Masters or PhD in CS/CE, 8+ years of experience, and deep fluency in C/C++ with CUDA or similar

Qualifications

• Master's or PhD in Computer Science, Computer Engineering, or related field.
• 8+ years of experience in relevant field.
• Fluent in C/C++, with deep knowledge of CUDA and parallel programming.

Responsibilities

• Research and develop techniques to GPU-accelerate high-performance databases, ETL and data analytics workloads.
• Collaborate with researchers, hardware, system software, libraries and tools teams to optimize performance.
• Influence the design of next-generation hardware architectures and software models.

Education

Master's or PhD in Computer Science/Computer Engineering

Tools

C/C++

CUDA

OpenACC

OpenMP

MPI

pthreads

TBB

Job description

NVIDIA Corporation in the United States is seeking a Solutions Architect for High-Performance Databases to push GPU-accelerated data workloads to the edge of performance. In this role you will research and develop techniques to GPU-accelerate databases, ETL and data analytics, working with other experts to optimize memory, bandwidth and parallelism on modern architectures.

The ideal candidate has a Masters or PhD in CS/CE, 8+ years of experience, and deep fluency in C/C++ with CUDA or similar