Senior Solutions Architect: GPU-Accelerated Data Processing

NVIDIA; California (MO); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA seeks a Solutions Architect for High-Performance Databases to research and GPU-accelerate database, ETL and data analytics workloads on modern architectures.

Requires a Masters or PhD in CS/CE, 8+ years of experience, and fluency in C/C++, with CUDA/OpenMP/OpenACC; deep memory subsystem knowledge and DB/analytics domain expertise. Opportunity to influence hardware and software at NVIDIA.

Qualifications

• Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree or equivalent experience.
• 8+ years of experience.
• Programming fluency in C/C++ with a deep understanding of algorithms and software design.
• Hands-on experience with low-level parallel programming (CUDA preferred) and related frameworks.
• In-depth expertise with CPU/GPU architecture fundamentals, memory subsystems.
• Domain expertise in high performance databases, ETL, data analytics and/or vector databases.
• Excellent communication and organization skills with strong problem-solving abilities.

Responsibilities

• Research and develop techniques to GPU-accelerate high-performance database, ETL and data analytics applications.
• Collaborate with industry and academia to optimize data-intensive workloads for current GPU architectures.
• Influence hardware, software, and programming models in collaboration with NVIDIA teams.
• Engage partners to push data processing innovations across NVIDIA product lines.

Skills

CUDA

OpenMP

OpenACC

MPI

pthreads

TBB

CPU/GPU architecture

High-performance DBs

Education

Masters or PhD in Computer Science/Engineering or related field

Job description

NVIDIA seeks a Solutions Architect for High-Performance Databases to research and GPU-accelerate database, ETL and data analytics workloads on modern architectures.

Requires a Masters or PhD in CS/CE, 8+ years of experience, and fluency in C/C++, with CUDA/OpenMP/OpenACC; deep memory subsystem knowledge and DB/analytics domain expertise. Opportunity to influence hardware and software at NVIDIA.